![]() ![]() Example: predicting the price of a house.15.6 “What variables should I include?”.Statistical vs. practical significance, revisited. ![]() 15.2 Interactions of numerical and grouping variables.Example 1: causal confusion in house prices.15.1 Numerical and grouping variables together.14.3 Models with multiple dummy variables.12.5 Example: labor market discrimination.The basic recipe of large-sample inference.10.2 The four steps of hypothesis testing.10.1 Example 1: did the Patriots cheat?.9.5 Bootstrapping usually, but not always, works.Bootstrap standard errors and confidence intervals.9.1 The bootstrap sampling distribution.8.3 The truth about statistical uncertainty.What the sampling distribution tells us.7.3 Using and interpreting regression models.2.6 Importing data from the command line.Data Science in R: A Gentle Introduction. ![]()
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