Building a histogram (Chapter 10: Graphs)
An intuitive understanding of mean and standard deviation (Chapter 12: Measures of spread)
Visualising mean and standard deviation on a histogram (Chapter 12: Measures of spread)
Visualising the z-scores and p-values (Chapter 16: The Central Limit Theorem)
Visualising confidence intervals on a histogram (Chapter 18: Confidence Intervals)
Visualising the t-statistic and p-values (Chapter 19: The t-interval)
Visualising the F-statistic and p-values (Chapter 24: Analysis of variance)
Visualising the Chi-square statistic and p-values (Chapter 29: Frequency and count data)
Visualising correlations between variables (Chapter 30: Correlation)
Thinking about linear regression (Chapter 32: Simple linear regression)
Randomisation example (Chapter 35: Randomisation)