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CrashCourse

Statistics

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45 items
Last updated on Mar 11, 2020
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Crash Course Statistics Preview
3:00
What Is Statistics: Crash Course Statistics #1
13:00
Mathematical Thinking: Crash Course Statistics #2
11:01
Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3
11:23
Measures of Spread: Crash Course Statistics #4
11:47
Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5
10:22
Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #6
11:36
The Shape of Data: Distributions: Crash Course Statistics #7
11:23
Correlation Doesn't Equal Causation: Crash Course Statistics #8
12:18
Controlled Experiments: Crash Course Statistics #9
12:27
Sampling Methods and Bias with Surveys: Crash Course Statistics #10
11:46
Science Journalism: Crash Course Statistics #11
10:42
Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection: Crash Course Statistics #12
11:25
Probability Part 1: Rules and Patterns: Crash Course Statistics #13
12:01
Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #14
12:06
The Binomial Distribution: Crash Course Statistics #15
14:15
Geometric Distributions and The Birthday Paradox: Crash Course Statistics #16
10:19
Randomness: Crash Course Statistics #17
12:07
Z-Scores and Percentiles: Crash Course Statistics #18
10:55
The Normal Distribution: Crash Course Statistics #19
11:27
Confidence Intervals: Crash Course Statistics #20
13:02
How P-Values Help Us Test Hypotheses: Crash Course Statistics #21
11:53
P-Value Problems: Crash Course Statistics #22
12:14
Playing with Power: P-Values Pt 3: Crash Course Statistics #23
12:15
You Know I'm All About that Bayes: Crash Course Statistics #24
12:05
Bayes in Science and Everyday Life: Crash Course Statistics #25
11:14
Test Statistics: Crash Course Statistics #26
12:50
T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #27
11:17
Degrees of Freedom and Effect Sizes: Crash Course Statistics #28
13:30
Chi-Square Tests: Crash Course Statistics #29
11:04
P-Hacking: Crash Course Statistics #30
11:02
The Replication Crisis: Crash Course Statistics #31
14:36
Regression: Crash Course Statistics #32
12:40
ANOVA: Crash Course Statistics #33
13:17
ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34
12:42
Fitting Models Is like Tetris: Crash Course Statistics #35
11:09
Supervised Machine Learning: Crash Course Statistics #36
11:51
Unsupervised Machine Learning: Crash Course Statistics #37
10:56
Intro to Big Data: Crash Course Statistics #38
11:23
Big Data Problems: Crash Course Statistics #39
12:51
Statistics in the Courts: Crash Course Statistics #40
11:18
Neural Networks: Crash Course Statistics #41
12:16
War: Crash Course Statistics #42
11:12
When Predictions Fail: Crash Course Statistics #43
10:39
When Predictions Succeed: Crash Course Statistics #44
11:20