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