CONTENTS
1 Designing and Carrying Out a Statistical Study
1.2 Is Chance Responsible? The Foundation of Hypothesis Testing
1.5 What to Measure—Central Location
1.6 What to Measure—Variability
1.7 What to Measure—Distance (Nearness)
1.10 Variables and Their Flavors
1.11 Examining and Displaying the Data
1.12 Are we Sure we Made a Difference?
2.4 Statistical and Practical Significance
2.5 When to use Hypothesis Tests
3 Displaying and Exploring Data
4.3 Random Variables and their Probability Distributions
5 Relationship between Two Categorical Variables
5.4 From Conditional Probabilities to Bayesian Estimates
5.6 Exploratory Data Analysis (EDA)
6.2 Margin of Error: Sampling Distribution for a Proportion
6.3 Sampling Distribution for a Mean
6.5 Beyond Simple Random Sampling
Get Introductory Statistics and Analytics: A Resampling Perspective now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.