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Mathematical statistics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Mathematical_statistics 00:00:24 1 Introduction 00:02:02 2 Topics 00:02:15 2.1 Probability distributions 00:03:58 2.1.1 Special distributions 00:06:09 2.2 Statistical inference 00:08:01 2.3 Regression 00:09:57 2.4 Nonparametric statistics 00:11:49 3 Statistics, mathematics, and mathematical statistics 00:12:51 4 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8969323491287495 Voice name: en-AU-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Mathematical statistics is the application of probability theory, a branch of mathematics, to statistics, as opposed to techniques for collecting statistical data. Specific mathematical techniques which are used for this include mathematical analysis, linear algebra, stochastic analysis, differential equations, and measure theory.
Views: 0 wikipedia tts
Theory of Probability and Mathematical Statistics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Theory_of_Probability_and_Mathematical_Statistics 00:00:29 Abstracting and indexing Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9363824810174703 Voice name: en-US-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Theory of Probability and Mathematical Statistics is a cover-to-cover translation into English of the Ukrainian scientific journal "Teoriya Imovirnostei ta Matematichna Statistika" which is published by Taras Shevchenko National University of Kyiv. It is published two times per year by the American Mathematical Society. The editor-in-chief is Volodymyr Korolyuk (Ukraine).
Views: 2 wikipedia tts
Confidence intervals and margin of error | AP Statistics | Khan Academy
 
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Confidence intervals and margin of error. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/estimating-confidence-ap/introduction-confidence-intervals/v/confidence-intervals-and-margin-of-error?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 194765 Khan Academy
Introduction to t statistics | Confidence intervals | AP Statistics | Khan Academy
 
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An introduction to why we use t statistics. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/estimating-confidence-ap/one-sample-t-interval-mean/v/introduction-to-t-statistics?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 32492 Khan Academy
Techniques for random sampling and avoiding bias | Study design | AP Statistics | Khan Academy
 
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Techniques for random sampling and avoiding bias. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/gathering-data-ap/sampling-methods/v/techniques-for-random-sampling-and-avoiding-bias?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 95304 Khan Academy
Top 10 Universities For Mathematics In Germany (2018) - MS in Germany™
 
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Germany has a very special place in mathematics history. Giants like Leonard Euler, Carl Friedrich Gauß, Karl Weierstraß, David Hilbert and Felix Klein founded schools and established traditions that made Germany the number one place in the world for mathematics in the world. The German Universities have a lot to offer for students coming from outside Germany who wish to study mathematics, in terms of studies, research experiences, cultural setting and career opportunities. Here is a list of universities (and corresponding courses) handpicked by us as best suited for Mathematics aspirants. Article with complete details: https://msingermany.co.in/articles/top-10-universities-mathematics-germany/ ——————————————————————————————————————— OUR WEBSITE https://msingermany.co.in ——————————————————————————————————————— JOIN OUR COMMUNITY Facebook Group: https://www.facebook.com/groups/MSinGermanyIndianStudents/ Facebook Page: https://www.facebook.com/MasterStudiesInGermany/ ——————————————————————————————————————— DOWNLOAD OUR APP Android: https://play.google.com/store/apps/details?id=com.msingermany iOS: https://itunes.apple.com/de/app/ms-in-germany/id1193825368?mt=8&ign-mpt=uo%3D4 #Bestgermanuniersites #BestuniversitiesinGermny #msingermany
Views: 1135 MS in Germany
Using a table to estimate P-value from t statistic | AP Statistics | Khan Academy
 
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Example of how to use a t table to estimate a P-value. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/tests-significance-ap/one-sample-t-test-mean/v/calculating-p-value-from-t-statistic?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 73220 Khan Academy
Importance of maths in daily life
 
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importance of maths in daily life SUBSCRIBE read this article to know more https://www.mathsisfun.com/mathematics.html welcome to mathogenius youtube channel and this channel is all about math. please give me 5 min to talk about math :) you are gonna love math after watching this. we also have a facebook group of over 35000 members to discuss and study math. watch this video also=https://www.youtube.com/watch?v=iruIt_QwGRc link to our facebook group https://www.facebook.com/groups/1350780458373702/ like us on our facebook page!=https://www.facebook.com/MathOgenius-154256505144946/ -~-~~-~~~-~~-~- do not forget to watch "How To Get 90%+ Marks In class 12th Boards(2018)✔️ (Easiest way!) By mathOgenius" https://www.youtube.com/watch?v=OOF23fXuW-Y -~-~~-~~~-~~-~-
Views: 33183 mathOgenius
Science Journalism: Crash Course Statistics #11
 
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We’ve talked a lot in this series about how often you see data and statistics in the news and on social media - which is ALL THE TIME! But how do you know who and what you can trust? Today, we’re going to talk about how we, as consumers, can spot flawed studies, sensationalized articles, and just plain poor reporting. And this isn’t to say that all science articles you read on facebook or in magazines are wrong, but that it's valuable to read those catchy headlines with some skepticism. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 54674 CrashCourse
Understanding Confidence Intervals: Statistics Help
 
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This short video gives an explanation of the concept of confidence intervals, with helpful diagrams and examples. Find out more on Statistics Learning Centre: http://statslc.com or to see more of our videos: https://wp.me/p24HeL-u6
Views: 745437 Dr Nic's Maths and Stats
Football Betting Strategies - Using Mathematical Models for Football Betting Tips
 
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Visit my site for comprehensive breakdowns of all of the bets and strategies you see. Also read the latest football betting blog articles: www.topfootballbettingtip.com I'm a passionate mental health awareness advocate and promote mental well-being throughout all of my work. You can visit my site here: www.thegadddad.com The Poisson Distribution Model is a mathematical model that predicts outcomes when given certain parameters. With the correct data set it can be used to predict the outcome of football matches, as is explained here. 1.) Using a tested mathematical model for Football Betting Tips and Predictions is a route to long-term steady profit 2.) Football Betting Tips and Tricks will only get you so far, they rely on luck whereas this formula uses hard facts and data. 3.) Football Accumulators and 5 Fold Bets will pay off occasionally but will lose you more than you win. 4.) This Football Bet Strategy gives you control over the matches you bet on and confidence in knowing there is research to back up the selections. No matter what anybody tells you there are no Football Betting Strategies that guarantee profit, this one is no different. The point here is that rather than pure guesswork, by using football betting strategies that rely on facts, your chances of winning increase.
Views: 28858 The Math Bet Man
Mathsj
 
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Applied Mathematics and Sciences: An International Journal (MathSJ ) http://airccse.com/mathsj/index.html ISSN : 2349 - 6223 Call for papers Applied Mathematics and Sciences: An International Journal (MathSJ ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. Topics of interest include, but are not limited to, the following: Abstract Algebra and Applications Adaptive control Agriculture, environment, health applications Algorithms Applications of modelling in science and engineering Artificial Neural Networks (ANN) Computational Complexity Computer modelling Control theory Differential Geometry Digital control Discrete Mathematics Embedded systems Evolutionary algorithms Fault detection and isolation Feedback control Functional Analysis Fuzzy logic and applications Fuzzy set theory Genetic Algorithms Genetic algorithms and evolutionary computing Graph Theory and Applications Hybrid systems Industry, military, space applications Linear and nonlinear control systems Linear and Nonlinear Programming Markov Chains and Applications Mathematical modelling Model predictive control Networked control systems Neural networks and fuzzy logic Neuro-Fuzzy Control Numerical Analysis Numerical analysis and scientific computing Operations Research Optimal Control Optimization and optimal control Optimization Theory Ordinary and Partial Differential Equations Process control and instrumentation Real and Complex Analysis Real-time issues Robust control Scientific computing Set Theory Sliding mode control Soft computing and control Statistics Stochastic control and filtering Stochastic Modelling System identification and control Systems and automation Topology and Analysis Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.com/mathsj/index.html
Views: 22 Mathsj Journal
Math Magic
 
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Links to sources, more math magic, and other cool things below! My Twitter: http://www.twitter.com/tweetsauce My Instagram: http://www.instagram.com/electricpants Thanks to Vanessa from BrainCraft! Check out her channel: https://www.youtube.com/user/braincraftvideo Matt Parker's standupmaths channel: https://www.youtube.com/user/standupmaths Matt's video I mention: https://www.youtube.com/watch?v=aNpGxZ_1KXU STEMMathsMagic channel: https://www.youtube.com/user/STEMMathsMagic The STEMMathsMagic video I reference: https://www.youtube.com/watch?v=r-LO8zQ9eTs STEMMathsMagic website (check out the manual!): http://www.mathematicalmagic.com/thetricks.html mismag is amazing. He introduced me to MANY self-working mathematical tricks. Please check him out! https://www.youtube.com/user/mismag822 MUSIC in this episode is from: Jake Chudnow: https://www.youtube.com/user/jakechudnow zach mccoy: https://zachmccoy.bandcamp.com/ audionetwork: http://www.audionetwork.com Shakespeare and Psalm 46: https://en.wikipedia.org/wiki/Psalm_46 http://www.umsl.edu/~thomaskp/sbible.htm https://www.apologeticspress.org/apcontent.aspx?category=13&article=925 Paper about which cards people think of most frequently (and more): http://www2.psych.ubc.ca/~rensink/publications/download/Cards-OAR.pdf 52 factorial explained by Scott Czepiel: http://czep.net/weblog/52cards.html Some good math magic articles: http://www.maa.org/community/maa-columns/past-columns-card-colm/low-down-triple-dealing http://www.futilitycloset.com/2015/06/25/color-scheme/ http://www.maa.org/external_archive/columns/colm/cardcolm200504.html http://www.ams.org/samplings/feature-column/fcarc-mulcahy5 http://mathforum.org/library/drmath/view/60379.html
Views: 8315655 Vsauce
P-values and significance tests | AP Statistics | Khan Academy
 
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Learn how to compare a P-value to a significance level to make a conclusion in a significance test. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/tests-significance-ap/idea-significance-tests/v/p-values-and-significance-tests?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 107816 Khan Academy
ASMR Math: Stats, Normal Distribution, Probability, Functions, Linear Algebra, Economics
 
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Twitch Channel: https://www.twitch.tv/chycholive ********************************************************** SUPPORT through Patreon: https://www.patreon.com/chycho You can also make direct donation through Paypal at: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=TXHUBMRN5AZ3Q I've also created a Liberapay account for those wishing to use this service to support this work: https://liberapay.com/chycho/ Thank you for your support. Peace. ***TABLE OF CONTENTS*** - Salutations (start to 2:45) - Introduction (6:10) - Outline (10: 54) - Statistics: Introduction, Normal Distribution (28:50) - Functions: Variables, Models, Systems (59:00) - Solving Systems of Linear Equation: Linear Algebra (1:14:40) - Stats: Horse Racing, Ratios, System, Collecting Data, Variables, Models, Automation (1:36:11) - Economics: Automation, Wall Street, Investing, Systems, Models, Powers (1:57:40) - Summary and Closing (2:15:00) - Q&A, Open Discussion (2:18:30) ***REFERENCED VIDEOS*** Why is Math Important? Part 1: Five Reasons Why Math is Important (137) https://youtu.be/6fDnjPre1GA Why is Math Important? Part 2: Because it's part of evolution, part of what makes us human (138) https://youtu.be/NqVAqhT9OTs Language of Mathematics III (89): Understanding Polynomials and Defining Terms (Part 1 of 3) https://youtu.be/lmTjbNycL_4 ASMR Math: How to Study: Tip #6: Recognize the Problem, Remember the Pattern https://youtu.be/jYKrmujbFVE Personal Finance: Consider the Implications of Automation https://youtu.be/Z-vUialrjlM Personal Finance: Currency, Money, Economy, P2: Gold, S&P, Superman, Income, Bitcoin https://youtu.be/m_mu_slEtMc ASMR Math: Differential Accumulation, Capital as Power, Resistance, Asymptotes and Creorder https://youtu.be/ZwoQotFSU_M Personal Finance: Introduction and Disclaimer https://youtu.be/ZaEdAafKFdU ASMR Math: Introduction to the Mathematics of Economics https://youtu.be/jYv1nUvYj6k ***PLAYLISTS*** Live Stream (Twitch/Youtube) https://www.youtube.com/playlist?list=PL9sfzC9bUPxklr8Rtj6Nmyp-I7MwRFu_m ASMR Math https://www.youtube.com/playlist?list=PL9sfzC9bUPxk8C_ZQHCjY5XrQS9SYkEBD ASMR - Autonomous Sensory Meridian Response https://www.youtube.com/playlist?list=PL9sfzC9bUPxnwlqICKHXy7lanHb4Vy0xl Trigonometry https://www.youtube.com/playlist?list=PL9sfzC9bUPxmSHtqSPAHfjNYu0OpIFWhp The Language of Mathematics https://www.youtube.com/playlist?list=PLFA0678B6777BA250 Math in Real Life https://www.youtube.com/playlist?list=PLE313AE0850B34951 How to Study https://www.youtube.com/playlist?list=PL9sfzC9bUPxllvFO3yJEI3Yt_GrroR882 Politics/Economics https://www.youtube.com/playlist?list=PL428D448DDF6F6150 Food https://www.youtube.com/playlist?list=PL9sfzC9bUPxmGPa6kjbtCkjFxPqT62E-O Comic Books https://www.youtube.com/playlist?list=PL9sfzC9bUPxnxixuAMr-_mqJHaEFZ8ugb Games https://www.youtube.com/playlist?list=PL3D8F8D607D46726E How to Eat Pomegranates https://www.youtube.com/playlist?list=PL9sfzC9bUPxngqSUawyN-ih7OixNPTgEH In Conversation with chycho: Q&A https://www.youtube.com/playlist?list=PL9sfzC9bUPxm7w9P9m9kmbNy05abYpe4f ***Additional Math Channels*** Math in Real Life (www.mathinreallife.com) https://www.youtube.com/user/mathinreallife 420math (www.420math.com) https://www.youtube.com/user/420math420math ***Additional Articles*** "For the ASMR Community: Extended Cuts of Picking My Beard" http://chycho.blogspot.ca/2013/01/for-asmr-community-extended-cuts-of.html Articles on Mathematics - "Math Articles" http://chycho.blogspot.ca/2014/04/table-of-contents-main.html#TOCMath: Peace, chycho http://www.chycho.com .
Views: 3550 chycho
CFP - MATHSJ
 
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Applied Mathematics and Sciences: An International Journal (MathSJ ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics.
Views: 7 Mathsj Journal
How to Read a Research Paper
 
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Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience. Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://www.arxiv-sanity.com/ https://www.reddit.com/r/MachineLearning/ https://www.elsevier.com/connect/infographic-how-to-read-a-scientific-paper https://www.quora.com/How-do-I-start-reading-research-papers-on-Machine-Learning https://www.reddit.com/r/MachineLearning/comments/6rj9r4/d_how_do_you_read_mathheavy_machine_learning/ https://machinelearningmastery.com/how-to-research-a-machine-learning-algorithm/ http://www.sciencemag.org/careers/2016/03/how-seriously-read-scientific-paper Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 204193 Siraj Raval
YOUR NEW FAVORITE PROBABILITY ACTIVITY
 
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In this week's math education vlog, I share a fun, hands-on probability activity for middle school students that involves constructing an area model to serve as a visual representation of a scenario involving candy! PDF Guide Download: http://bit.ly/2gzbQ4E ★ Want more FREE weekly math videos? Subscribe Now: http://bit.ly/1OVJnyh ★★ Why Math? Download YOUR Free eBook and sign-up for our FREE weekly newsletter: http://www.mashupmath.com/resources/ ★★★ Learn More About Anthony: http://bit.ly/1KQ1Td3 Learning Standards (8th Grade Expressions and Equations): Investigate chance processes and develop, use, and evaluate probability models. 7.SP.C.5 Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event. 7.SP.C.7 Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy. What is a probability model? How can I help my kids understand probability? Where can I find free worksheets, acitivies, and lessons for middle school (7th and 8th grade) probability? Video Icons: Icons provided free by www.EmojiOne.com Music: Groovy Baby by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/ ... MashUp Math is a great free resource for math students, parents, and teachers. Our lessons are a great resource for struggling students, flipped classroom educators, and homeschool math students. ✔✔✔SUBSCRIBE FOR FREE: https://www.youtube.com/channel/UCtBt... ✔✔JOIN OUR MAILING LIST: http://bit.ly/1TqV94V ✔FOLLOW US ON TWITTER: http://www.twitter.com/mashupmath ✔FOLLOW US ON INSTAGRAM: http://www.instagram.com/mashupmath ✔FOLLOW US ON PINTEREST: http://www.pinterest.com/mashupmath ✔LIKE US ON FACEBOOK: http://www.facebook.com/mashupmath Our Mission: MashUp Math is our creative solution to reviving students' passion and interest for learning mathematics. As young educators, we know that all students learn math differently and that a one-size-fits-all approach is simply ineffective. The idea that the ability to understand mathematics is reserved for a select few did not sit well with us. In addition to sharing free teacher resources (which are teacher created resources) in the form of teacher worksheets, we share new YouTube math videos every week that help math teachers and students to better understand mathematics and the common core. Our lessons can be aligned with the common core standards for common core math and are immensely popular with flipped learning educators and anyone experimenting with flipped classroom learning. As educators, we know what it takes to be a super math teacher and that we can’t always do it alone. In addition to our cool math videos, we share articles, blogs, inspirational quotes, teacher math worksheets, and math worksheets. Whether you teach in the flipped classroom, operate in blended education or online blended learning, or are interested in finding cool math online, MashUp Math will have something for you! Many students think of us as a math tutor online or as their on-demand online tutor. Others trust us for all things related to online math education—coming to use when they find themselves thinking “I don’t understand my homework assignment! and need some homework help! It is also a part of our mission to make progressive steps in mathematics education. For one, our content is created with the goal of moving students from a fixed mindset to a growth mindset. We also aim to meet the unique needs of ESL math students and support math for girls as well. Many of our users serve as a special education teacher and use our cool videos to support their special education students with special needs. Our free online math lessons are also high adaptable to your homeschool curriculum and should be added to your list of free homeschool resources. We are also very involved in the edtech world and are very popular with Google Classroom educators, Math Games Classroom Educators, and teachers who support the use of iPad for education! So if you could use some help with everyday math and are a student with a unique learning style or learning styles—like Visual Auditory Learning! Or if you’re tired of math games and are more interested in an easy-to-follow tutorial, check us out and learn math with us. No matter your school’s standards of learning, our YouTube Math Videos Lessons will work for you!
Views: 79852 MashUp Math
Applied Mathematics & Sciences: An International Journal (MathSJ )
 
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Applied Mathematics and Sciences: An International Journal (MathSJ ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. http://airccse.com/mathsj/index.html
Views: 107 AIRCC
Analyzing a cumulative relative frequency graph | AP Statistics | Khan Academy
 
05:55
Find percentiles, median, quartiles, and IQR using a cumulative relative frequency graph. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/density-curves-normal-distribution-ap/percentiles-cumulative-relative-frequency/v/analyzing-a-cumulative-relative-frequency-graph?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 52379 Khan Academy
Median, mean and skew from density curves | AP Statistics | Khan Academy
 
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High level analysis of density curves. A focus on median, mean, left-skew and right-skew. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/density-curves-normal-distribution-ap/density-curves/v/median-mean-and-skew-from-density-curves?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 90156 Khan Academy
Mean (expected value) of a discrete random variable | AP Statistics | Khan Academy
 
04:32
Finding the mean (or expected value) of a discrete random variable. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/random-variables-ap/discrete-random-variables/v/expected-value-of-a-discrete-random-variable?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 111257 Khan Academy
Intro to Hypothesis Testing in Statistics - Hypothesis Testing Statistics Problems & Examples
 
23:41
Get the full course at: http://www.MathTutorDVD.com The student will learn the big picture of what a hypothesis test is in statistics. We will discuss terms such as the null hypothesis, the alternate hypothesis, statistical significance of a hypothesis test, and more. In this step-by-step statistics tutorial, the student will learn how to perform hypothesis testing in statistics by working examples and solved problems.
Views: 1317639 mathtutordvd
Win a SMALL fortune with counting cards-the math of blackjack & Co.
 
22:03
Curious about how it is possible to make money in a casino, for example, by counting cards in Blackjack? Then this new Mathologer video about the mathematics of casino games like roulette, blackjack, etc. is for you. The video is based on talks by my friend and colleague Marty Ross who who knows a lot about beating the casinos at their own game. I do a bit of an interview with Marty at the end in this video but just in case you are interested in seeing him in some real Marty action, here is a link to a video of him giving a talk about sports gambling at the Melbourne Museum in 2012: https://www.youtube.com/watch?v=EXyCv6OMKfA Also check out his bad mathematics blog https://mathematicalcrap.com and his writeup of the solution our free coupon puzzle in Math Horizons http://www.qedcat.com/articles/coupon.pdf Anyway, thanks a lot to Marty for all his help with this video and to Danil (Dimitriev) for his continuing work on providing Russian subtitles for all Mathologer videos and Michael (Franklin) for his help with recording this video. For those among you interested in more information about the mathematics of casino games here are some more references: a) https://wizardofodds.com/ Great free site with reliable details on all forms of gambling, discussion of principles etc. https://wizardofodds.com/games/blackjack/ https://wizardofodds.com/gambling/betting-systems/ b) Theory of gambling and statistical logic by Richard Epstein https://books.google.com.au/books/about/The_Theory_of_Gambling_and_Statistical_L.html?id=8irb9D8_cosC&redir_esc=y c) Professional blackjack All round best practical manual https://www.bookdepository.com/Professional-Blackjack-Stanford-Wong/9780935926217 d) Beat the Dealer by Edward Thorp The original book. http://www.edwardothorp.com/books/beat-the-dealer/ d) The Theory of Blackjack by Peter Griffin Does a lot of the theory underlying and evaluating blackjack systems, linear regression and so forth. https://www.bookdepository.com/Theory-Blackjack-Peter-Griffin/9780929712130 e) Here’s a counting practice app: https://itunes.apple.com/us/app/21-pro-blackjack-multi-hand/id289075847?mt=8 Enjoy! Burkard P.S.: My t-shirt today features a famous mathematical limerick: Integral zee squared dzee//from 1 to the cube root of 3//times the cosine//of three pi over 9//equals log of the cube root of e.
Views: 372771 Mathologer
International Journal of Applied Mathematics and Sciences ( IJAMS)
 
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International Journal of Applied Mathematics and Sciences ( IJAMS) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. http://wireilla.com/ms/ijams/index.html
Views: 453 Wire Tube
Mathematic | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Mathematics 00:02:20 1 History 00:08:11 1.1 Etymology 00:10:53 2 Definitions of mathematics 00:16:18 2.1 Mathematics as science 00:20:33 3 Inspiration, pure and applied mathematics, and aesthetics 00:24:24 4 Notation, language, and rigor 00:28:31 5 Fields of mathematics 00:29:29 5.1 Foundations and philosophy 00:32:40 5.2 Pure mathematics 00:32:59 5.2.1 Quantity 00:33:09 5.2.2 Structure 00:34:50 5.2.3 Space 00:36:50 5.2.4 Change 00:39:12 5.3 Applied mathematics 00:40:24 5.3.1 Statistics and other decision sciences 00:41:40 5.3.2 Computational mathematics 00:43:37 6 Mathematical awards 00:44:34 7 See also 00:46:19 8 Notes 00:46:29 9 Footnotes Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8518249488603977 Voice name: en-GB-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") includes the study of such topics as quantity, structure, space, and change.Mathematicians seek and use patterns to formulate new conjectures; they resolve the truth or falsity of conjectures by mathematical proof. When mathematical structures are good models of real phenomena, then mathematical reasoning can provide insight or predictions about nature. Through the use of abstraction and logic, mathematics developed from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Practical mathematics has been a human activity from as far back as written records exist. The research required to solve mathematical problems can take years or even centuries of sustained inquiry. Rigorous arguments first appeared in Greek mathematics, most notably in Euclid's Elements. Since the pioneering work of Giuseppe Peano (1858–1932), David Hilbert (1862–1943), and others on axiomatic systems in the late 19th century, it has become customary to view mathematical research as establishing truth by rigorous deduction from appropriately chosen axioms and definitions. Mathematics developed at a relatively slow pace until the Renaissance, when mathematical innovations interacting with new scientific discoveries led to a rapid increase in the rate of mathematical discovery that has continued to the present day.Mathematics is essential in many fields, including natural science, engineering, medicine, finance, and the social sciences. Applied mathematics has led to entirely new mathematical disciplines, such as statistics and game theory. Mathematicians engage in pure mathematics (mathematics for its own sake) without having any application in mind, but practical applications for what began as pure mathematics are often discovered later.
Views: 0 wikipedia tts
Mean, Median, and Mode Activity with Playing Cards!
 
02:57
Let's gain some practice with this finding mean, median, mode, and range activity (6th Grade Learning Standard). ★Get Your Free Lesson Guide Activity and Worksheet: http://bit.ly/2G7WMI1 ★ Love math challenges? Get our new PDF workbook: 101 Daily Math Challenges to Engage Your Kids here: http://bit.ly/2nOCO9a ★ Want more FREE weekly math videos? Subscribe Now: http://bit.ly/1OVJnyh ★★ Why Math? Download YOUR Free eBook and sign-up for our FREE weekly newsletter: http://www.mashupmath.com/resources/ ★★★ Learn More About Anthony: http://bit.ly/1KQ1Td3 Learning Standards (6th Grade Statistics & Probability): Summarize and describe distributions. Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered. How do I find the mean of a set of numbers? How do I find the median of a set of numbers? How do I find the mode of a set of numbers? How do I find the range of a set of numbers? Fun group activity ideas for teaching mean, median, and mode and range ... MashUp Math is a great free resource for math students, parents, and teachers. Our lessons are a great resource for struggling students, flipped classroom educators, and homeschool math students. ✔✔JOIN OUR MAILING LIST: http://bit.ly/1TqV94V ✔FOLLOW US ON TWITTER: http://www.twitter.com/mashupmath ✔FOLLOW US ON INSTAGRAM: http://www.instagram.com/mashupmath ✔FOLLOW US ON PINTEREST: http://www.pinterest.com/mashupmath ✔LIKE US ON FACEBOOK: http://www.facebook.com/mashupmath Our Mission: MashUp Math is our creative solution to reviving students' passion and interest for learning mathematics. As young educators, we know that all students learn math differently and that a one-size-fits-all approach is simply ineffective. The idea that the ability to understand mathematics is reserved for a select few did not sit well with us. In addition to sharing free teacher resources (which are teacher created resources) in the form of teacher worksheets, we share new YouTube math videos every week that help math teachers and students to better understand mathematics and the common core. Our lessons can be aligned with the common core standards for common core math and are immensely popular with flipped learning educators and anyone experimenting with flipped classroom learning. As educators, we know what it takes to be a super math teacher and that we can’t always do it alone. In addition to our cool math videos, we share articles, blogs, inspirational quotes, teacher math worksheets, and math worksheets. Whether you teach in the flipped classroom, operate in blended education or online blended learning, or are interested in finding cool math online, MashUp Math will have something for you! Many students think of us as a math tutor online or as their on-demand online tutor. Others trust us for all things related to online math education—coming to use when they find themselves thinking “I don’t understand my homework assignment! and need some homework help! It is also a part of our mission to make progressive steps in mathematics education. For one, our content is created with the goal of moving students from a fixed mindset to a growth mindset. We also aim to meet the unique needs of ESL math students and support math for girls as well. Many of our users serve as a special education teacher and use our cool videos to support their special education students with special needs. Our free online math lessons are also high adaptable to your homeschool curriculum and should be added to your list of free homeschool resources. We are also very involved in the edtech world and are very popular with Google Classroom educators, Math Games Classroom Educators, and teachers who support the use of iPad for education! So if you could use some help with everyday math and are a student with a unique learning style or learning styles—like Visual Auditory Learning! Or if you’re tired of math games and are more interested in an easy-to-follow tutorial, check us out and learn math with us. No matter your school’s standards of learning, our YouTube Math Videos Lessons will work for you!
Views: 19616 MashUp Math
Example: Transforming a discrete random variable | Random variables | AP Statistics | Khan Academy
 
04:10
Example of transforming a discrete random variable. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/random-variables-ap/transforming-random-variables/v/example-transforming-a-discrete-random-variable?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 20360 Khan Academy
Mathematics | Wikipedia audio article
 
38:12
This is an audio version of the Wikipedia Article: Mathematics 00:01:54 1 History 00:06:44 1.1 Etymology 00:08:57 2 Definitions of mathematics 00:13:22 2.1 Mathematics as science 00:16:50 3 Inspiration, pure and applied mathematics, and aesthetics 00:19:41 4 Notation, language, and rigor 00:23:04 5 Fields of mathematics 00:23:52 5.1 Foundations and philosophy 00:26:29 5.2 Pure mathematics 00:26:44 5.2.1 Quantity 00:26:53 5.2.2 Structure 00:28:16 5.2.3 Space 00:29:56 5.2.4 Change 00:31:55 5.3 Applied mathematics 00:32:55 5.3.1 Statistics and other decision sciences 00:33:58 5.3.2 Computational mathematics 00:35:35 6 Mathematical awards 00:36:24 7 See also 00:37:50 8 Notes 00:37:59 9 Footnotes Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") includes the study of such topics as quantity, structure, space, and change.Mathematicians seek and use patterns to formulate new conjectures; they resolve the truth or falsity of conjectures by mathematical proof. When mathematical structures are good models of real phenomena, then mathematical reasoning can provide insight or predictions about nature. Through the use of abstraction and logic, mathematics developed from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Practical mathematics has been a human activity from as far back as written records exist. The research required to solve mathematical problems can take years or even centuries of sustained inquiry. Rigorous arguments first appeared in Greek mathematics, most notably in Euclid's Elements. Since the pioneering work of Giuseppe Peano (1858–1932), David Hilbert (1862–1943), and others on axiomatic systems in the late 19th century, it has become customary to view mathematical research as establishing truth by rigorous deduction from appropriately chosen axioms and definitions. Mathematics developed at a relatively slow pace until the Renaissance, when mathematical innovations interacting with new scientific discoveries led to a rapid increase in the rate of mathematical discovery that has continued to the present day.Mathematics is essential in many fields, including natural science, engineering, medicine, finance and the social sciences. Applied mathematics has led to entirely new mathematical disciplines, such as statistics and game theory. Mathematicians engage in pure mathematics, or mathematics for its own sake, without having any application in mind. Practical applications for what began as pure mathematics are often discovered.
Views: 1 wikipedia tts
ASMR Math: How to Deal with the Equal Sign, What It Means to Solve an Equation
 
01:06:37
Skip Intro and Simplifying, Go to Solving Equations (10:17) ▶️ Patreon: https://www.patreon.com/chycho ▶️ Paypal at: https://www.paypal.me/chycho ▶️ SubscribeStar: Coming Soon ▶️ As well as Cryptocurrencies: Bitcoin (BTC): 1Peam3sbV9EGAHr8mwUvrxrX8kToDz7eTE Bitcoin Cash (BCH): 18KjJ4frBPkXcUrL2Fuesd7CFdvCY4q9wi Ethereum (ETH): 0xCEC12Da3D582166afa8055137831404Ea7753FFd Ethereum Classic (ETC): 0x348E8b9C0e7d71c32fB2a70DcABCB890b979441c Litecoin (LTC): LLak2kfmtqoiQ5X4zhdFpwMvkDNPa4UhGA Dash (DSH): XmHxibwbUW9MRu2b1oHSrL951yoMU6XPEN ZCash (ZEC): t1S6G8gqmt6rWjh3XAyAkRLZSm9Fro93kAd Doge (DOGE): D83vU3XP1SLogT5eC7tNNNVzw4fiRMFhog Thank you for your support. Peace. chycho http://www.chycho.com ***ONLINE PRESENCE**** Website: http://www.chycho.com Patreon: https://www.patreon.com/chycho Subscribe Star: Coming Soon YouTube: https://www.youtube.com/user/chychochycho BitChute: https://www.bitchute.com/channel/chycho Twitch: https://www.twitch.tv/chycholive Discord: https://discord.gg/MXmS7B9 Minds: https://www.minds.com/chycho Gab: https://gab.ai/chycho Twitter: https://twitter.com/chycho ***PLAYLISTS*** ASMR Math https://www.youtube.com/playlist?list=PL9sfzC9bUPxk8C_ZQHCjY5XrQS9SYkEBD ASMR - Autonomous Sensory Meridian Response https://www.youtube.com/playlist?list=PL9sfzC9bUPxnwlqICKHXy7lanHb4Vy0xl Trigonometry https://www.youtube.com/playlist?list=PL9sfzC9bUPxmSHtqSPAHfjNYu0OpIFWhp The Language of Mathematics https://www.youtube.com/playlist?list=PLFA0678B6777BA250 Math in Real Life https://www.youtube.com/playlist?list=PLE313AE0850B34951 How to Study https://www.youtube.com/playlist?list=PL9sfzC9bUPxllvFO3yJEI3Yt_GrroR882 Politics/Economics https://www.youtube.com/playlist?list=PL428D448DDF6F6150 Comic Books https://www.youtube.com/playlist?list=PL9sfzC9bUPxnxixuAMr-_mqJHaEFZ8ugb Games https://www.youtube.com/playlist?list=PL3D8F8D607D46726E Backgammon https://www.youtube.com/playlist?list=PL9sfzC9bUPxmnpQCIWhkInx4SIk1craYM Show and Tell (Collections) https://www.youtube.com/playlist?list=PL9sfzC9bUPxnNCawhkOgbat2Emc09qXxP Beards https://www.youtube.com/playlist?list=PL3BE5BA1835DF9819 Music: https://www.youtube.com/playlist?list=PL3A91A1E32AC88A3C How to Make Crab Apple Butter, Crabapple Spread https://www.youtube.com/playlist?list=PL9sfzC9bUPxkvKlhVE1-R8Q1Cpox4V2ax Food https://www.youtube.com/playlist?list=PL9sfzC9bUPxmGPa6kjbtCkjFxPqT62E-O How to Eat Pomegranates https://www.youtube.com/playlist?list=PL9sfzC9bUPxngqSUawyN-ih7OixNPTgEH In Conversation with chycho: Q&A https://www.youtube.com/playlist?list=PL9sfzC9bUPxm7w9P9m9kmbNy05abYpe4f ***Additional Math Channels*** Math in Real Life (www.mathinreallife.com) https://www.youtube.com/user/mathinreallife 420math (www.420math.com) https://www.youtube.com/user/420math420math ***Additional Articles*** "For the ASMR Community: Extended Cuts of Picking My Beard" http://chycho.blogspot.ca/2013/01/for-asmr-community-extended-cuts-of.html Articles on Mathematics - "Math Articles" http://chycho.blogspot.ca/2014/04/table-of-contents-main.html#TOCMath: Peace, chycho http://www.chycho.com .
Views: 52199 chycho
This is How Easy It Is to Lie With Statistics
 
18:55
Follow me on Twitter: https://twitter.com/MajorPrep1 Join Facebook Group: https://www.facebook.com/groups/majorprep/ Book that Motivated This Video: https://amzn.to/2WEUYLM ►Support the Channel Patreon: https://patreon.com/majorprep PayPal(one time donation): https://www.paypal.me/majorprep ►My Setup: Space Pictures: https://amzn.to/2CC4Kqj Magnetic Floating Globe: https://amzn.to/2VgPdn0 Camera: https://amzn.to/2RivYu5 Mic: https://amzn.to/2BLBkEj Tripod: https://amzn.to/2RgMTNL Equilibrium Tube: https://amzn.to/2SowDrh ►Check out the MajorPrep Amazon Store: https://www.amazon.com/shop/majorprep *************************************************** ► For more information on math, science, and engineering majors, check us out at https://majorprep.com Best Ways to Contact Me: Facebook, twitter, or email ([email protected])
Views: 348116 MajorPrep
The Monty Hall Problem
 
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The Monty Hall Problem is a famous (or rather infamous) probability puzzle. Ron Clarke takes you through the puzzle and explains the counter-intuitive answer. Put simply: If you pick a goat then swap you will always win the car. And you have a 2/3 probability of picking a goat. You can read more about this problem, and the controversy, on Marilyn Vos Savant's website www.marilynvossavant.com A lot of people have commented that I should have used 67% rather than 66%. When I made the video I made the choice to use 66% because I talk about "double the chance" and 66% is double 33%. I accept that 67% is more accurate, but I don't think it affects the explanation. Thanks for all your comments!
Views: 7390861 niansenx
Newcomb's paradox | Famous Math Problems 7 | NJ Wildberger
 
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Newcomb's paradox was first studied by American physicist William Newcomb, and popularized by articles by Robert Nozick and famously Martin Gardner in one of his 1974 Mathematical Games columns in Scientific American. The paradox involves notions of free will, determinism, choice, probability and rationality. So it rests somewhere in the border between mathematics and philosophy. Most people find, on first hearing about it, that there is an ``obvious solution'', however different people have different opinions on what this is--- and the problem has a notorious tendency to change and shift as we contemplate it. In this lecture I will give my own interpretation of what the paradox is actually about, and resolve it! As you might guess, I try to remove all the metaphysics and philosophy, and just deal with the mathematics. For that we will need a brief excursion into probability theory and the notion of expected value. Screenshot PDFs for my videos are available at the website http://wildegg.com. These give you a concise overview of the contents of each lecture. Great for review, study and summary. A screenshot PDF which includes FamousMathProbs1 to 12 can be found at my WildEgg website here: http://www.wildegg.com/store/p111/product-FamousMathProblems-screenshot-pdf If you are interested in supporting my production of high quality math videos, why not consider becoming a Patron? Here is the link to my Patreon page: https://www.patreon.com/njwildberger?ty=h
Views: 17415 njwildberger
Random number list to run experiment | Probability | AP Statistics | Khan Academy
 
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Using a list of random numbers to simulate multiple trials of an experiment. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/probability-ap/randomness-probability-simulation/v/random-number-list-to-run-experiment?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 30600 Khan Academy
Statistical theory | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Statistical_theory 00:00:52 1 Scope 00:01:10 1.1 Modelling 00:01:59 1.2 Data collection 00:02:49 1.3 Summarising data 00:03:37 1.4 Interpreting data 00:05:19 1.5 Applied statistical inference 00:06:22 2 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9387456631673893 Voice name: en-US-Wavenet-F "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= The theory of statistics provides a basis for the whole range of techniques, in both study design and data analysis, that are used within applications of statistics. The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions that satisfy the basic principles stated for these different approaches. Within a given approach, statistical theory gives ways of comparing statistical procedures; it can find a best possible procedure within a given context for given statistical problems, or can provide guidance on the choice between alternative procedures.Apart from philosophical considerations about how to make statistical inferences and decisions, much of statistical theory consists of mathematical statistics, and is closely linked to probability theory, to utility theory, and to optimization.
Views: 0 wikipedia tts
Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3
 
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Today we’re going to talk about measures of central tendency - those are the numbers that tend to hang out in the middle of our data: the mean, the median, and mode. All of these numbers can be called “averages” and they’re the numbers we tend to see most often - whether it’s in politics when talking about polling or income equality to batting averages in baseball (and cricket) and Amazon reviews. Averages are everywhere so today we’re going to discuss how these measures differ, how their relationship with one another can tell us a lot about the underlying data, and how they are sometimes used to mislead. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Nickie Miskell Jr., Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Daniel Baulig, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, Justin Zingsheim, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 214457 CrashCourse
Statistical and Applied Mathematical Sciences Institute | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Statistical_and_Applied_Mathematical_Sciences_Institute Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8329174038554945 Voice name: en-AU-Wavenet-D "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Statistical and Applied Mathematical Sciences Institute (SAMSI) is an applied mathematics and statistics research organization based in Research Triangle Park, North Carolina. It is funded by the National Science Foundation, and is partnered with Duke University, North Carolina State University, the University of North Carolina at Chapel Hill, and the National Institute of Statistical Sciences. SAMSI was founded in 2002. In 2012, the National Science Foundation renewed SAMSI's funding for an additional five years. SAMSI is offering programs in bioinformatics and statistical ecology in 2014–15.
Views: 0 wikipedia tts
Applied Mathematics and Sciences: An International Journal (MathSJ )
 
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Applied Mathematics and Sciences: An International Journal (MathSJ ) http://airccse.com/mathsj/index.html ISSN : 2349 - 6223 Call for papers Applied Mathematics and Sciences: An International Journal (MathSJ ) aims to publish original research papers and survey articles on all areas of pure mathematics, theoretical applied mathematics, mathematical physics, theoretical mechanics, probability and mathematical statistics, and theoretical biology. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.com/mathsj/index.html
Views: 128 Mathsj Journal
Mathematical Reviews | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Mathematical_Reviews 00:00:30 1 Reviews 00:02:17 2 Online database 00:02:45 3 Mathematical citation quotient 00:04:17 4 Current Mathematical Publications 00:04:45 5 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "There is only one good, knowledge, and one evil, ignorance." - Socrates SUMMARY ======= Mathematical Reviews is a journal published by the American Mathematical Society (AMS) that contains brief synopses, and in some cases evaluations, of many articles in mathematics, statistics, and theoretical computer science. The AMS also publishes an associated online bibliographic database called MathSciNet which contains an electronic version of Mathematical Reviews and additionally contains citation information for over 3.5 million items as of 2018.
Views: 0 Subhajit Sahu
Mathematics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Mathematics 00:02:31 1 History 00:08:48 1.1 Etymology 00:11:40 2 Definitions of mathematics 00:17:28 2.1 Mathematics as science 00:22:01 3 Inspiration, pure and applied mathematics, and aesthetics 00:26:08 4 Notation, language, and rigor 00:30:31 5 Fields of mathematics 00:31:34 5.1 Foundations and philosophy 00:34:58 5.2 Pure mathematics 00:35:18 5.2.1 Quantity 00:35:28 5.2.2 Structure 00:37:16 5.2.3 Space 00:39:25 5.2.4 Change 00:41:57 5.3 Applied mathematics 00:43:15 5.3.1 Statistics and other decision sciences 00:44:35 5.3.2 Computational mathematics 00:46:41 6 Mathematical awards 00:47:42 7 See also 00:49:33 8 Notes 00:49:43 9 Footnotes Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7980296264473311 Voice name: en-GB-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") includes the study of such topics as quantity, structure, space, and change.Mathematicians seek and use patterns to formulate new conjectures; they resolve the truth or falsity of conjectures by mathematical proof. When mathematical structures are good models of real phenomena, then mathematical reasoning can provide insight or predictions about nature. Through the use of abstraction and logic, mathematics developed from counting, calculation, measurement, and the systematic study of the shapes and motions of physical objects. Practical mathematics has been a human activity from as far back as written records exist. The research required to solve mathematical problems can take years or even centuries of sustained inquiry. Rigorous arguments first appeared in Greek mathematics, most notably in Euclid's Elements. Since the pioneering work of Giuseppe Peano (1858–1932), David Hilbert (1862–1943), and others on axiomatic systems in the late 19th century, it has become customary to view mathematical research as establishing truth by rigorous deduction from appropriately chosen axioms and definitions. Mathematics developed at a relatively slow pace until the Renaissance, when mathematical innovations interacting with new scientific discoveries led to a rapid increase in the rate of mathematical discovery that has continued to the present day.Mathematics is essential in many fields, including natural science, engineering, medicine, finance, and the social sciences. Applied mathematics has led to entirely new mathematical disciplines, such as statistics and game theory. Mathematicians engage in pure mathematics, or mathematics for its own sake, without having any application in mind. Practical applications for what began as pure mathematics are often discovered.
Views: 0 wikipedia tts
On the Propogation of Uncertainty in Network Summaries: Eric Kolaczyk, Boston University
 
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http://math.bu.edu/people/kolaczyk/biography.html Eric Kolaczyk was born in 1968 in Chicago, Illiinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mathematics and Statistics at Boston University since 1998, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l'Universite Paris VII. He teaches an annual short-course at l'Ecole Nationale de la Statistique et de l'Administration Economique (ENSAE) in Paris. Prof. Kolaczyk's main research interests currently revolve around the statistical analysis of network-indexed data, and include both the development of basic methodology and inter-disciplinary work with collaborators in bioinformatics, computer science, geography, neuroscience, and sociology. Besides various research articles on these topics, he has also authored three books in this area, including Statistical Analysis of Network Data: Methods and Models (Springer, 2009) and, joint with Gabor Csardi, Statistical Analysis of Network Data in R (Springer, 2014). Prior to his working in the area of networks, Prof. Kolaczyk spent a decade working on statistical multi-scale modeling. He is an elected fellow of the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science (AAAS), an elected senior member of the Institute for Electrical and Electronics Engineers (IEEE), and an elected member of the International Statistical Institute (ISI). Additional details are available in a full-length curriculum vitae. #TuringSeminars
Proof of expected value of geometric random variable | AP Statistics | Khan Academy
 
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Proof of expected value of geometric random variable. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/random-variables-ap/geometric-random-variable/v/proof-of-expected-value-of-geometric-random-variable?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 21416 Khan Academy
The Zipf Mystery
 
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The of and to. A in is I. That it, for you, was with on. As have ... but be they. RELATED LINKS AND SOURCES BELOW! http://www.twitter.com/tweetsauce http://www.instagram.com/electricpants WordCount.org http://www.wordcount.org/ How many days have you been alive? http://www.beatcanvas.com/daysalive.asp random letter generator: http://www.dave-reed.com/Nifty/randSeq.html Dictionary of Obscure Sorrows: https://www.youtube.com/user/obscuresorrows Word frequency resources: [lemmatized] https://en.wikipedia.org/wiki/Most_common_words_in_English http://www.uow.edu.au/~dlee/corpora.htm http://www.wordfrequency.info http://www.anc.org/data/anc-second-release/frequency-data/ http://www.titania.bham.ac.uk/docs/ http://www.kilgarriff.co.uk/bnc-readme.html#raw https://en.wiktionary.org/wiki/Wiktionary:Frequency_lists http://ucrel.lancs.ac.uk/bncfreq/ [PDF] http://www.wordfrequency.info/files/entries.pdf [combined Wikipedia and Gutenberg] http://www.monlp.com/2012/04/16/calculating-word-and-n-gram-statistics-from-a-wikipedia-corpora/ http://corpus.byu.edu/coca/files/100k_samples.txt http://corpus.byu.edu/ http://corpus.leeds.ac.uk/list.html https://books.google.co.uk/books?id=ja1_AAAAQBAJ&dq=word+frequency+coca&lr= http://www.ling.helsinki.fi/kit/2009s/clt231/NLTK/book/ch01-LanguageProcessingAndPython.html Great Zipf's law papers: http://colala.bcs.rochester.edu/papers/piantadosi2014zipfs.pdf http://www.ling.upenn.edu/~ycharles/sign708.pdf http://arxiv.org/pdf/cond-mat/0412004.pdf http://www-personal.umich.edu/~mejn/courses/2006/cmplxsys899/powerlaws.pdf Zipf’s law articles and discussions: http://www.theatlantic.com/magazine/archive/2002/04/seeing-around-corners/302471/ http://io9.com/the-mysterious-law-that-governs-the-size-of-your-city-1479244159?utm_expid=66866090-48.Ej9760cOTJCPS_Bq4mjoww.0 https://plus.maths.org/content/os/latestnews/may-aug08/food/index http://judson.blogs.nytimes.com/2009/05/19/math-and-the-city/?em https://plus.maths.org/content/mystery-zipf?src=aop http://www.datasciencecentral.com/profiles/blogs/why-zipf-s-law-explains-so-many-big-data-and-physics-phenomenons https://en.wikipedia.org/wiki/Zipf%27s_law https://books.google.co.uk/books?id=f8GrzlnMSm8C&pg=PA62&redir_esc=y#v=onepage&q&f=false http://arxiv.org/pdf/0802.4393v1.pdf http://www.pnas.org/content/108/9/3526.full http://lewisdartnell.com/language_page.htm http://wugology.com/zipfs-law/ other Zipf’s law PDFs http://ftp.iza.org/dp3928.pdf http://arxiv.org/pdf/1402.2965.pdf http://arxiv.org/pdf/1104.3199.pdf http://www.lel.ed.ac.uk/~jim/zipfjrh.pdf http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2834740/#pone.0009411-Mandelbrot1 http://polymer.bu.edu/hes/articles/pgs02a.pdf in untranslated language: http://arxiv.org/pdf/0808.2904.pdf http://pages.stern.nyu.edu/~xgabaix/papers/zipf.pdf http://www.hpl.hp.com/research/idl/papers/ranking/ranking.html http://statweb.stanford.edu/~owen/courses/306a/ZipfAndGutenberg.pdf http://arxiv.org/pdf/1310.0448v3.pdf http://www.kornai.com/Papers/glotto5.pdf Zipf’s law slides: http://www.slideshare.net/guest9fc47a/nlp-new-words Pareto Principle and related ‘laws’: http://www.squawkpoint.com/2013/03/pareto-principle/ http://billyshall.com/blog/post/paretos-principle https://en.wikipedia.org/wiki/Pareto_principle Random typing and Zipf: http://www.longtail.com/the_long_tail/2006/09/is_zipfs_law_ju.html health 80/20: http://archive.ahrq.gov/research/findings/factsheets/costs/expriach/expriach1.html Principle of least effort: https://en.wikipedia.org/wiki/Principle_of_least_effort https://en.wikipedia.org/wiki/Satisficing http://www.pnas.org/content/100/3/788.full.pdf [PDF] http://csiss.org/classics/content/99 self organized criticality: http://journal.frontiersin.org/article/10.3389/fnsys.2014.00166/full Hapax Legomenon: http://campus.albion.edu/english/2011/02/15/hapax-legomenon/ http://www.dailywritingtips.com/is-that-a-hapax-legomenon/ https://en.wikipedia.org/wiki/Hapax_legomenon [PDF] http://www.aclweb.org/anthology/J10-4003 http://www.wired.com/2012/01/hapax-legomena-and-zipfs-law/ http://oed.hertford.ox.ac.uk/main/content/view/402/450/index.html#_ftn1 http://oed.hertford.ox.ac.uk/main/content/view/36/166/index.html Learning curve: https://en.wikipedia.org/wiki/Learning_curve Forgetting curve: http://www.trainingindustry.com/wiki/entries/forgetting-curve.aspx https://en.wikipedia.org/wiki/Forgetting_curve Experience curve effects: https://en.wikipedia.org/wiki/Experience_curve_effects Forgetting and zipf's law: http://act-r.psy.cmu.edu/wordpress/wp-content/uploads/2012/12/37JRA_LS_PS_1991.pdf http://public.psych.iastate.edu/shacarp/Wixted_Carpenter_2007.pdf http://marshalljonesjr.com/youll-remember-less-than-001-of-your-life/ https://en.wikipedia.org/wiki/Forgetting https://www.reddit.com/r/Showerthoughts/comments/3gu9qk/it_only_takes_three_generations_for_you_to_be/ music from: http://www.youtube.com/jakechudnow http://www.audionetwork.com
Views: 13607888 Vsauce
Median in a histogram | Summarizing quantitative data | AP Statistics | Khan Academy
 
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Worked example from Khan Academy finding the interval in a histogram containing the media of a data set. View more lessons or practice this subject at https://www.khanacademy.org/math/ap-statistics/summarizing-quantitative-data-ap/measuring-center-quantitative/v/median-histogram?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 13486 Khan Academy
Statistics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Statistics 00:03:43 1 Scope 00:04:45 1.1 Mathematical statistics 00:05:10 2 Overview 00:07:15 3 Data collection 00:07:24 3.1 Sampling 00:09:18 3.2 Experimental and observational studies 00:10:49 3.2.1 Experiments 00:13:06 3.2.2 Observational study 00:13:52 4 Types of data 00:16:35 5 Terminology and theory of inferential statistics 00:16:46 5.1 Statistics, estimators and pivotal quantities 00:18:55 5.2 Null hypothesis and alternative hypothesis 00:20:16 5.3 Error 00:22:45 5.4 Interval estimation 00:24:45 5.5 Significance 00:28:05 5.6 Examples 00:28:17 6 Misuse 00:31:16 6.1 Misinterpretation: correlation 00:32:14 7 History of statistical science 00:36:38 8 Applications 00:36:47 8.1 Applied statistics, theoretical statistics and mathematical statistics 00:37:31 8.2 Machine learning and data mining 00:37:49 8.3 Statistics in society 00:38:15 8.4 Statistical computing 00:39:32 8.5 Statistics applied to mathematics or the arts 00:41:22 9 Specialized disciplines 00:42:26 10 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "There is only one good, knowledge, and one evil, ignorance." - Socrates SUMMARY ======= Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal". Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. See glossary of probability and statistics. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation. Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution's central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena. A standard statistical procedure involves the test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null hypothesis, two basic forms of error are recognized: Type I errors (null hypothesis is falsely rejected giving a "false positive") and Type II errors (null hypothesis fails to be rejected and an actual difference between populations is missed giving a "false ...
Views: 2 wikipedia tts
Department of Applied Mathematics and Theoretical Physics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Faculty_of_Mathematics,_University_of_Cambridge 00:00:27 1 Some current members 00:00:36 1.1 DPMMS 00:01:00 1.1.1 Statistical Laboratory 00:01:24 1.2 DAMTP 00:02:07 2 Pure Mathematics and Mathematical Statistics 00:02:44 2.1 Heads of department 00:03:34 2.2 Statistical Laboratory 00:04:18 2.2.1 Directors of the Statistical Laboratory 00:05:21 3 Applied Mathematics and Theoretical Physics 00:06:09 3.1 Heads of department 00:06:43 4 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8372964744014476 Voice name: en-AU-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= The Faculty of Mathematics at the University of Cambridge comprises the Department of Pure Mathematics and Mathematical Statistics (DPMMS) and the Department of Applied Mathematics and Theoretical Physics (DAMTP). It is housed in the Centre for Mathematical Sciences site in West Cambridge, alongside the Isaac Newton Institute. Many distinguished mathematicians have been members of the faculty.
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3D Trick Art on Paper   Maths Notebook Cover
 
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Cool Trick Art Drawing 3D on paper - Anamorphic illusion - Draw step by step. Please Like and Subscribe to follow my work. Follow me on Instagram: sonhoscomdimensao (https://www.instagram.com/sonhoscomdimensao/?hl=pt) Truque Arte Desenho 3D em papel- Ilusão Ótica - Desenho passo a passo. Não te esqueças do "Like" e subscreve o canal para seguires o meu trabalho. Material used: Paper A4 180g Graphit pencil Markers Eraser Materiais usados: Papel A4 180g Lápis de carvão Marcadores Borracha
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Calculating a P-value given a z statistic | AP Statistics | Khan Academy
 
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Example showing how to use a standard normal table to estimate a P-value. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/tests-significance-ap/one-sample-z-test-proportion/v/calculating-p-value-from-z-table?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
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Probability | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: Probability Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= Probability is the measure of the likelihood that an event will occur. See glossary of probability and statistics. Probability quantifies as a number between 0 and 1, where, loosely speaking, 0 indicates impossibility and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes ("heads" and "tails") are both equally probable; the probability of "heads" equals the probability of "tails"; and since no other outcomes are possible, the probability of either "heads" or "tails" is 1/2 (which could also be written as 0.5 or 50%). These concepts have been given an axiomatic mathematical formalization in probability theory, which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.
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Statistical ensemble (mathematical physics) | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Statistical_ensemble_(mathematical_physics) 00:00:44 1 Physical considerations 00:02:05 1.1 Terminology 00:02:40 2 Principal ensembles of statistical thermodynamics 00:05:17 3 Representations of statistical ensembles in statistical mechanics 00:06:10 3.1 Requirements for representations 00:06:30 3.2 Quantum mechanical 00:09:35 3.3 Classical mechanical 00:14:20 3.3.1 Correcting overcounting in phase space 00:17:49 4 Ensembles in statistics 00:19:02 5 Operational interpretation 00:22:30 6 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "There is only one good, knowledge, and one evil, ignorance." - Socrates SUMMARY ======= In mathematical physics, especially as introduced into statistical mechanics and thermodynamics by J. Willard Gibbs in 1902, an ensemble (also statistical ensemble) is an idealization consisting of a large number of virtual copies (sometimes infinitely many) of a system, considered all at once, each of which represents a possible state that the real system might be in. In other words, a statistical ensemble is a probability distribution for the state of the system.A thermodynamic ensemble is a specific variety of statistical ensemble that, among other properties, is in statistical equilibrium (defined below), and is used to derive the properties of thermodynamic systems from the laws of classical or quantum mechanics.
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