Here are pointers to videos that accompany the chapters. They provide an overview of key points and discuss how to implement the examples using R.
Chapter 5: Standard deviation as a ruler and the normal model
Chapter 6: Scatterplots, association, and correlation
Chapter 9: Re-expressing data and transformations
Chapter 12: Experiments and observational studies
Chapter 13: From randomness to probability
Chapter 15: Random variables (part 1 of 2):
Chapter 15: Random variables (part 2 of 2):
Chapter 16: Probability models
Chapter 17: Sampling distribution models
Chapter 18: Confidence intervals for proportions
Chapter 19: Testing hypotheses about proportions
Chapter 20: Inferences about means
Chapter 21: More about tests and intervals
Chapter 23: Paired samples and blocking
Chapter 25: Inferences for regression
Chapter 26: Analysis of variance (ANOVA)
Chapter 27: Multifactor analysis of variance
Chapter 28: Multiple regression (part 1 of 2: descriptive models)
Chapter 28: Multiple regression (part 2 of 2: inferential models)