The article discusses how to calculate statistical power and estimate sample size using R for different statistical models like t-tests, ANOVA, and correlations. Statistical power is the likelihood of correctly rejecting a false null hypothesis. It depends on effect size, variability, and sample size. The chapter shows that estimating power for ANOVA is similar to t-tests and also covers power estimation for correlations.