Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four


More about this programme: www.bbc.co.uk Hans Rosling's famous lectures combine enormous quantities of public data with a sport's commentator's style to reveal the story of the world's past, present and future development. Now he explores stats in a way he has never done before - using augmented reality animation. In this spectacular section of 'The Joy of Stats' he tells the story of the world in 200 countries over 200 years using 120000 numbers - in just four minutes. Plotting life expectancy against income for every country since 1810, Hans shows how the world we live in is radically different from the world most of us imagine.


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Statistics: Standard Deviation


Review of what we've learned. Introduction to the standard deviation.


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Statistics: The Average


Introduction to descriptive statistics and central tendency. Ways to measure the average of a set: median, mean, mode


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Lies, damned lies and statistics (about TEDTalks)


www.ted.com In a brilliantly tongue-in-cheek analysis, Sebastian Wernicke turns the tools of statistical analysis on TEDTalks, to come up with a metric for creating "the optimum TEDTalk" based on user ratings. How do you rate it?TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http Watch a highlight reel of the Top 10 TEDTalks at www.ted.com


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Peter Donnelly: How juries are fooled by statistics


www.ted.com Oxford mathematician Peter Donnelly reveals the common mistakes humans make in interpreting statistics -- and the devastating impact these errors can have on the outcome of criminal trials.TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers are invited to give the talk of their lives in 18 minutes -- including speakers such as Jill Bolte Taylor, Sir Ken Robinson, Hans Rosling, Al Gore and Arthur Benjamin. TED stands for Technology, Entertainment, and Design, and TEDTalks cover these topics as well as science, business, politics and the arts. Watch the Top 10 TEDTalks on TED.com, at http


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C1: WHAT IS STATISTICS?


WHAT IS STATISTICS? o The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling o The subject of statistics can be divided into descriptive statistics - describing data, and inferential Statistics - drawing conclusions from data (Source: dictionary.com) WHY SHOULD WE STUDY STATISTICS? Descriptive Statistics : To describe a phenomenon o Summary and presentation of data Inferential Statistics: To draw conclusions o Making statements or predictions about the population based on statistical information POPULATION & SAMPLE POPULATION: is the group of all objects or individuals of interest. o All York Students o Canadians SAMPLE: is a subset of the population o 40 York students chosen at random o People interviewed for the latest election poll o We refer to the individual components of a sample as "observations" PARAMETERS AND STATISTICS Very generally we can say that: o Populations are described by PARAMETERS o Samples are described by STATISTICS For example: Parameter: the average hair length of all domestic cats (reflects the true value for the population) Statistic: the average hair length of cats in my sample (it's an estimate) Statistical inference: is the process of drawing a conclusion about the population based on the sample (with certain levels of confidence and significance) FINAL DEFINITIONS A variable is a characteristic of a population or sample. o student <b>...</b>


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Statistics - Calculating Variance


Statistics - Calculating Variance. I give the formula and show one example of finding variance. For more free videos, visit PatrickJMT.com


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Lecture 1 | Modern Physics: Statistical Mechanics


March 30, 2009 - Leonard Susskind discusses the study of statistical analysis as calculating the probability of things subject to the constraints of a conserved quantity. Susskind introduces energy, entropy, temperature, and phase states as they relate directly to statistical mechanics. Stanford University: www.stanford.edu Stanford Continuing Studies Program: csp.stanford.edu Stanford University Channel on YouTube: www.youtube.com


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Statistics: Sample vs. Population Mean


The difference between the mean of a sample and the mean of a population.


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Madina Lake - Statistics


10. Statistics (Attics to Eden)


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World Statistics Day: Statistics All Around Us


Help the US Census Bureau celebrate World Statistics Day with the United Nations and statistical agencies across the globe. This video highlights some of the many benefits we receive from the statistical information provided by the US federal statistical community. The key question: "What would our country -- our world -- be like, without statistics?"


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Statistics: Variance of a Population


Variance of a population.


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Daniel Judge- Statistics Lecture 1 (part 1)


This lecture covers the topics: Gathering Data and Organzing Data (Frequency/ Relative Frequency Tables). web.mac.com


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Brains, Meaning and Corpus Statistics


Google Tech Talks March 27, 3009 ABSTRACT Presented by Tom M. Mitchell E. Fredkin Professor and Department Head Machine Learning Department Carnegie Mellon University How does the human brain represent meanings of words and pictures in terms of the underlying neural activity? This talk will present our research using machine learning methods together with fMRI brain imaging to study this question. One line of our research has involved training classifiers that identify which word a person is thinking about, based on their neural activity observed using fMRI. A more recent line involves developing a computational model that predicts the neural activity associated with arbitrary English words, including words for which we do not yet have brain image data. This computational model is trained using a combination of fMRI data associated with several dozen concrete nouns, together with statistics gathered from a trillion-word text corpus. Once trained, the model predicts fMRI activation for any other concrete noun appearing in the text corpus, with highly significant accuracies over the 60 nouns for which we currently have fMRI data. Tom M. Mitchell is the E. Fredkin Professor and head of the Machine Learning Department at Carnegie Mellon University. Mitchell is a past President of the American Association of Artificial Intelligence (AAAI), and a Fellow of the AAAS and of the AAAI. His general research interests lie in machine learning, artificial intelligence, and cognitive <b>...</b>


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Social Media Statistics & Facts 2010


Box Hill Institute is an educational provider located in Melbourne, Australia. This video was put together to showcase social media & emphasise some of what the Institute is doing to engage with current and potential students in the digital world. Want to learn more? Visit us at www.boxhill.edu.au http www.twitter.com


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Did You Know? Predicting Future Statistics


This was shown in my Physics class and I thought that this was interesting. I believe that this was created by a teacher somewhere in Colorado named Karl Fisch. This video gives information about the past, our own generation and assumes the future statistics of the world and our own possible capabilities. The predections are mind boggling. Shift happens. More info here. scottmcleod.typepad.com


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Video Revolution - Youtube Statistics (VideoTrafficAcademy.com)


www.videotrafficacademy.com Are you ready for the Video Revolution?! Updated for 2011, this video reveals some shocking & impressive Youtube Statistics about what people are doing online in regards to video! Are you aSmall Business Owner using Video in YOUR Marketing yet? The Video Revolution will show you some compelling reasons why you NEED to be paying very close attention to video in order to drive traffic, build your brand, and increase leads & sales! Youtube Statistics: 0:41 Youtube is the 3rd Most Visited Website in the World 0:44 Youtube is the Second Largest Search Engine 0:48 Youtube is the World's Largest Video Sharing Platform 0:54 Youtube Gets over 3 Billion Views Every Single Day 0:58 Youtube Mobile Gets Over 100 Million Views Per Day 1:04 35 Hours of Footage is Uploaded to Youtube Each & Every Minute 1:13 13 Million Hours of Footage were uploaded to Youtube in 2010 1:20 70% of Youtube Traffic Comes from Outside the US 1:26 Youtube is Localized in 26 Different Countries across 43 Languages 1:33 More video is uploaded to Youtube every 60 Days than the 3 Major US TV Networks have produced in 60 years! The QUESTION is not, "should you be using video in your marketing?!" It's "WHY AREN'T YOU?!" Welcome to the Video Revolution! For more information, visit: www.videotrafficacademy.com


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Calculating z Scores Statistics


Example of Calculating Z Score, statistics, GCSE, GSCE


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internet statistics 2010 - amazing stats


Compelling internet statistics about the growth in internet usage, ecommerce and the use of email marketing.


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Statistics: Sample Variance


Using the variance of a sample to estimate the variance of a population


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Amazing Statistics


This mind blowing information shows how the virtual and online world is changing so rapidly. Did you know there are 31 billion searches on Google every single month? In 2006 it was only 2.7 billion. In 1992 the first commercial text message was sent. Today the number of messages sent and received every day exceeds the population of the planet..... Courtesy of Mr Karl Fisch and Dr Scott Mcleod.


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Statistics is easy: Confidence Interval


Amir H. Ghaseminejad shows the meaning of Confidence Interval with a simple example. There are two schools in statistics. In the frequentist school, The parameters of population are unknown constants, 90% confidence interval means that with a large number of repeated samples, 90% of the calculated confidence intervals would include the true value of the mean. In the Bayesian school, a 90% credible interval for the parameter means that the posterior probability that the parameter lies in the interval is 0.9. An alternative terminology is to use "Bayesian confidence interval" instead of "credible interval". Many professional statisticians and decisions scientists as well as non-statisticians intuitively interpret confidence intervals in the Bayesian credible interval sense and hence "credible intervals" are sometimes called "confidence intervals". It is widely accepted, especially in the decision sciences, that "credible interval" is merely the subjective subset of "confidence intervals". In fact, much research in calibrated probability assessments never uses the term "credible interval" and it is common to simply use "confidence interval". Credible interval. (2009, June 1). In Wikipedia, The Free Encyclopedia. Retrieved 18:28, May 16, 2010, from en.wikipedia.org


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Hans Rosling: No more boring data: TEDTalks


www.ted.com With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to present data that debunks several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.) TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http Follow us on Twitter www.twitter.com Checkout our Facebook page for TED exclusives www.facebook.com


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History of Statistics


"History of Statistics" is all about the origin of Statistics since the start of civilization. This video is a timeline presenation of events and people related to Statistics. This video is presented by the CLEAR Group from A06A18, 2nd year students from Far Eastern University, handled by our dearest professor Mr. Ronan Sierra Santos. CLEAR Group Members: 1. CARLOS, Dana 2. CASALLA, Ethel 3. CATARROJA, Ivory 4. COLIS, Bea Mae 5. CRUZ, Regienald 6. MAGLATANG, Ivy 7. MALANG, Jamaica 8. MAUN, Mary Ann 9. NOBLETA, Alaysa 10. PACQUING, Joash 11. REPOTENTE, Joseph 12. VILLANUEVA, Jeff


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Z scores explained statistics


z scores, definitions, bell curve, GSCE, GCSE


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The Evolution of Music - Statistics


Evolution of Music statistics video - a few facts you probably never knew about the music industry. Produced by www.simplyzesty.com Tracklist: Jimi Hendrix -Crosstown Traffic Caribou - Odessa Pharell Williams, Julian Casablancas and Santigold - My Drive Thru


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Social Media Revolution 2011


www.socialnomics.net Part of the world's most watched Social Media video series; "Social Media Revolution" by Erik Qualman. Based on #1 International Best Selling Book Socialnomics by Erik Qualman. This is a shorter version that includes new social media statistics for 2011.


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Statistics - Dream Job of the next decade


From a Keynote Presentation by Hal Varian - Chief Economist, Google, to the 2008 Almaden Institute - "Innovating with Information". The full presentation (as well as all the other presentations at the very interesting meeting) is available at www.almaden.ibm.com Hal Varian makes the argument that with data in huge supply and statisticians in short supply, being a statistician has to be the 'really sexy job for the 2010s'.


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Excel Statistics 89: Hypothesis Testing With Critical Value & p-value


See the Excel functions NORMSINV for critical value and NORSDIST for p-value. Detailed description and examples for steps necessary to conduct a Hypothesis Test about a Population Mean. 1.Hypothesis Testing Test 2.Null Hypothesis 3.Alternative Hypothesis 4.Alpha Type 1 Error 5.Beta Type 2 Error 6.Tests Statistic z 7.Test Statistic z 8.Critical Value and p-value 9.Hypothesis Testing Test About a Population Mean Sigma Known (z Distribution) 10.Conclusions about Statements about whether they are reasonable or not 11.NORMSDIST 12.NORMSINV Busn 210 Business Statistical Using Excel Highline Community College taught by Mike Gel excelisfun Girvin


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Regression Analysis Statistics


Regression Analysis, Standard Deviation, Trend Lines


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Prostate Cancer Statistics


In this video, Hans Rosling briefly reviews the risk of getting diagnosed with, and the risk of dying from, prostate cancer in the world. The data is compiled by IARC ( International Agency for research on Cancer) in Lyon, France. The most striking is the high rate of diagnosis per 100 000 men in USA and some countries in West Europe. In contrast, Japan has a very low rate and the most probable explanation is a genetic predisposition in men of European origin. The data is displayed in bubbles for each country and the color of the bubbles refers to the continent where each country is situated.


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Statistics: Alternate Variance Formulas


Playing with the formula for variance of a population.


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Probability and Statistics


Learn about Probability and Statistics, a brief introduction at mathebook.net


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Excel Statistics 09: What Is Statistics?


Define Statistics as Art and Science, and then See examples of Statistics in Finance, Production, Marketing and Accounting. Define Data and then see how to make information from data using a PivotTable Pivot Table This is a beginning to end video series for the Business & Economics Statistics/Excel class, Busn 210 at Highline Community College taught by Michael Gel ExcelIsFun Girvin


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10 Extraordinary Statistics


Want to play the lottery? You might change your mind after seeing these 10 Extraordinary Statistics. Music = Course Poursuite by John Etheridge Where else to find All Time 10s... Facebook: ow.ly Twitter: ow.ly Check out a selection of video's highlighting some Alltime10's favourite and interesting people.. @ www.youtube.com


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Standard Deviation and Variance Explained Statistics Class


Tutorial on calculating the standard deviation and variance for statistics class. The tutorial provides a step by step guide.


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Lecture 3 | Modern Physics: Statistical Mechanics


April 13, 2009 - Leonard Susskind reviews the Lagrange multiplier, explains Boltzmann distribution and Helm-Holtz free energy before oulining into the theory of fluctuations. Stanford University: www.stanford.edu Stanford Continuing Studies Program: csp.stanford.edu Stanford University Channel on YouTube: www.youtube.com


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