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CrashCourse の公式再生リスト
In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks. By the end of the course, you will be able to: *Identify questions that can be answered using statistics *Describe patterns, trends, associations, and relationships in data both numerically and graphically *Justify a conclusion using evidence from data, definitions, or statistical inference *Apply statistical models to make inferences and predictions from data sets *Understand how statistics are used broadly in the world and interpret their meaning, like in newspapers or scientific studies
3:00Crash Course Statistics Preview2018/01/17
13:00What Is Statistics: Crash Course Statistics #12018/01/24
11:01Mathematical Thinking: Crash Course Statistics #22018/01/31
11:23Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #32018/02/07
11:47Measures of Spread: Crash Course Statistics #42018/02/14
10:22Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #52018/02/21
11:36Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #62018/02/28
11:23The Shape of Data: Distributions: Crash Course Statistics #72018/03/08
12:18Correlation Doesn't Equal Causation: Crash Course Statistics #82018/03/14
12:27Controlled Experiments: Crash Course Statistics #92018/03/21
11:46Sampling Methods and Bias with Surveys: Crash Course Statistics #102018/03/28
10:42Science Journalism: Crash Course Statistics #112018/04/11
11:25Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection: Crash Course Statistics #122018/04/18
12:01Probability Part 1: Rules and Patterns: Crash Course Statistics #132018/04/25
12:06Probability Part 2: Updating Your Beliefs with Bayes: Crash Course Statistics #142018/05/02
14:15The Binomial Distribution: Crash Course Statistics #152018/05/09
10:19Geometric Distributions and The Birthday Paradox: Crash Course Statistics #162018/05/16
12:07Randomness: Crash Course Statistics #172018/05/23
10:55Z-Scores and Percentiles: Crash Course Statistics #182018/05/30
11:27The Normal Distribution: Crash Course Statistics #192018/06/06
13:02Confidence Intervals: Crash Course Statistics #202018/06/13
11:53How P-Values Help Us Test Hypotheses: Crash Course Statistics #212018/06/27
12:14P-Value Problems: Crash Course Statistics #222018/07/11
12:15Playing with Power: P-Values Pt 3: Crash Course Statistics #232018/07/18
12:05You Know I'm All About that Bayes: Crash Course Statistics #242018/07/25
11:14Bayes in Science and Everyday Life: Crash Course Statistics #252018/08/01
12:50Test Statistics: Crash Course Statistics #262018/08/08
11:17T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #272018/08/15
13:30Degrees of Freedom and Effect Sizes: Crash Course Statistics #282018/08/22
11:04Chi-Square Tests: Crash Course Statistics #292018/08/29
11:02P-Hacking: Crash Course Statistics #302018/09/05
14:36The Replication Crisis: Crash Course Statistics #312018/09/26
12:40Regression: Crash Course Statistics #322018/10/03
13:17ANOVA: Crash Course Statistics #332018/10/10
12:42ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #342018/10/17
11:09Fitting Models Is like Tetris: Crash Course Statistics #352018/10/24
11:51Supervised Machine Learning: Crash Course Statistics #362018/10/31
10:56Unsupervised Machine Learning: Crash Course Statistics #372018/11/07
11:23Intro to Big Data: Crash Course Statistics #382018/11/14
12:51Big Data Problems: Crash Course Statistics #392018/11/21
11:18Statistics in the Courts: Crash Course Statistics #402018/11/28
12:16Neural Networks: Crash Course Statistics #412018/12/12
11:12War: Crash Course Statistics #422018/12/19
10:39When Predictions Fail: Crash Course Statistics #432019/01/02
11:20When Predictions Succeed: Crash Course Statistics #442019/01/09