Crash Course Statistics Statistics The Shape of Data: Distributions 2018
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When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then use the shape of our samples to make inferences about the true underlying distribution our data. It turns out we can learn a lot about how something occurs, even if we don't know the underlying process that causes it. Today, we’ll also introduce the normal (or bell) curve and talk about how we can learn some really useful things from a sample's shape - like if an exam was particularly difficult, how often old faithful erupts, or if there are two types of runners that participate in marathons!
- Released: 2018-03-07
- Runtime: 13 minutes
- Genre:
- Stars: Adriene Hill
- Director:
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1. What Is Statistics 2018-01-24
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2. Mathematical Thinking 2018-01-31
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4. Measures of Spread 2018-02-14
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7. The Shape of Data: Distributions 2018-03-07
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8. Correlation Doesn’t Equal Causation 2018-03-14
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9. Controlled Experiments 2018-03-21
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10. Sampling Methods and Bias with Surveys 2018-03-28
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11. Science Journalism 2018-04-11
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13. Probability Part 1: Rules and Patterns 2018-04-25
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15. The Binomial Distribution 2018-05-09
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17. Randomness 2018-05-23
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18. Z-Scores and Percentiles 2018-05-30
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19. The Normal Distribution 2018-06-06
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20. Confidence Intervals 2018-06-13
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21. How P-Values Help Us Test Hypotheses 2018-06-27
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22. P-Value Problems 2018-07-11
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23. Playing with Power: P-Values Pt 3 2018-07-18
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24. You Know I’m All About that Bayes 2018-07-25
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25. Bayes in Science and Everyday Life 2018-08-01
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26. Test Statistics 2018-08-08
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27. T-Tests: A Matched Pair Made in Heaven 2018-08-15
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28. Degrees of Freedom and Effect Sizes 2018-08-22
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29. Chi-Square Tests 2018-08-29
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30. P-Hacking 2018-09-05
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31. The Replication Crisis 2018-09-26
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32. Regression 2018-10-03
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35. Fitting Models Is like Tetris 2018-10-24
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36. Supervised Machine Learning 2018-10-31
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37. Unsupervised Machine Learning 2018-11-07
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38. Intro to Big Data 2018-11-14
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39. Big Data Problems 2018-11-21
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40. Statistics in the Courts 2018-11-28
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41. Neural Networks 2018-12-12
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43. When Predictions Fail 2019-01-02
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44. When Predictions Succeed 2019-01-09
