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Intro to Big Data: Crash Course Statistics #38

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Intro to Big Data: Crash Course Statistics #38

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Statistics by CrashCourse

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  1. 1 Crash Course Statistics Preview
  2. 2 What Is Statistics: Crash Course Statistics #1
  3. 3 Mathematical Thinking: Crash Course Statistics #2
  4. 4 Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3
  5. 5 Measures of Spread: Crash Course Statistics #4
  6. 6 Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5
  7. 7 Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #6
  8. 8 The Shape of Data: Distributions: Crash Course Statistics #7
  9. 9 Correlation Doesn’t Equal Causation: Crash Course Statistics #8
  10. 10 Controlled Experiments: Crash Course Statistics #9
  11. 11 Sampling Methods and Bias with Surveys: Crash Course Statistics #10
  12. 12 Science Journalism: Crash Course Statistics #11
  13. 13 Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection: Crash Course Statistics #12
  14. 14 Probability Part 1: Rules and Patterns: Crash Course Statistics #13
  15. 15 Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #14
  16. 16 The Binomial Distribution: Crash Course Statistics #15
  17. 17 Geometric Distributions and The Birthday Paradox: Crash Course Statistics #16
  18. 18 Randomness: Crash Course Statistics #17
  19. 19 Z-Scores and Percentiles: Crash Course Statistics #18
  20. 20 The Normal Distribution: Crash Course Statistics #19
  21. 21 Confidence Intervals: Crash Course Statistics #20
  22. 22 How P-Values Help Us Test Hypotheses: Crash Course Statistics #21
  23. 23 P-Value Problems: Crash Course Statistics #22
  24. 24 Playing with Power: P-Values Pt 3: Crash Course Statistics #23
  25. 25 You Know I’m All About that Bayes: Crash Course Statistics #24
  26. 26 Bayes in Science and Everyday Life: Crash Course Statistics #25
  27. 27 Test Statistics: Crash Course Statistics #26
  28. 28 T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #27
  29. 29 Degrees of Freedom and Effect Sizes: Crash Course Statistics #28
  30. 30 Chi-Square Tests: Crash Course Statistics #29
  31. 31 P-Hacking: Crash Course Statistics #30
  32. 32 The Replication Crisis: Crash Course Statistics #31
  33. 33 Regression: Crash Course Statistics #32
  34. 34 ANOVA: Crash Course Statistics #33
  35. 35 ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34
  36. 36 Fitting Models Is like Tetris: Crash Course Statistics #35
  37. 37 Supervised Machine Learning: Crash Course Statistics #36
  38. 38 Unsupervised Machine Learning: Crash Course Statistics #37
  39. 39 Intro to Big Data: Crash Course Statistics #38
  40. 40 Big Data Problems: Crash Course Statistics #39
  41. 41 Statistics in the Courts: Crash Course Statistics #40
  42. 42 Neural Networks: Crash Course Statistics #41
  43. 43 War: Crash Course Statistics #42
  44. 44 When Predictions Fail: Crash Course Statistics #43
  45. 45 When Predictions Succeed: Crash Course Statistics #44

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