3:00

Crash Course Statistics Preview

CrashCourse

13:00

What Is Statistics: Crash Course Statistics #1

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11:01

Mathematical Thinking: Crash Course Statistics #2

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11:23

Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3

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11:47

Measures of Spread: Crash Course Statistics #4

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10:22

Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5

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11:36

Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #6

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11:23

The Shape of Data: Distributions: Crash Course Statistics #7

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12:18

Correlation Doesn't Equal Causation: Crash Course Statistics #8

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12:27

Controlled Experiments: Crash Course Statistics #9

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11:46

Sampling Methods and Bias with Surveys: Crash Course Statistics #10

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10:42

Science Journalism: Crash Course Statistics #11

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11:25

Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection: Crash Course Statistics #12

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12:01

Probability Part 1: Rules and Patterns: Crash Course Statistics #13

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12:06

Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #14

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14:15

The Binomial Distribution: Crash Course Statistics #15

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10:19

Geometric Distributions and The Birthday Paradox: Crash Course Statistics #16

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12:07

Randomness: Crash Course Statistics #17

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10:55

Z-Scores and Percentiles: Crash Course Statistics #18

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11:27

The Normal Distribution: Crash Course Statistics #19

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13:02

Confidence Intervals: Crash Course Statistics #20

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11:53

How P-Values Help Us Test Hypotheses: Crash Course Statistics #21

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12:14

P-Value Problems: Crash Course Statistics #22

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12:15

Playing with Power: P-Values Pt 3: Crash Course Statistics #23

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12:05

You Know I'm All About that Bayes: Crash Course Statistics #24

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11:14

Bayes in Science and Everyday Life: Crash Course Statistics #25

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12:50

Test Statistics: Crash Course Statistics #26

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11:17

T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #27

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13:30

Degrees of Freedom and Effect Sizes: Crash Course Statistics #28

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11:04

Chi-Square Tests: Crash Course Statistics #29

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11:02

P-Hacking: Crash Course Statistics #30

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14:36

The Replication Crisis: Crash Course Statistics #31

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12:40

Regression: Crash Course Statistics #32

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13:17

ANOVA: Crash Course Statistics #33

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12:42

ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34

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11:09

Fitting Models Is like Tetris: Crash Course Statistics #35

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11:51

Supervised Machine Learning: Crash Course Statistics #36

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10:56

Unsupervised Machine Learning: Crash Course Statistics #37

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11:23

Intro to Big Data: Crash Course Statistics #38

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12:51

Big Data Problems: Crash Course Statistics #39

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11:18

Statistics in the Courts: Crash Course Statistics #40

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12:16

Neural Networks: Crash Course Statistics #41

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11:12

War: Crash Course Statistics #42

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10:39

When Predictions Fail: Crash Course Statistics #43

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11:20

When Predictions Succeed: Crash Course Statistics #44

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