There are two parts to the case study. In part A, we apply Pythonic implementation of the concepts underlying frequentist inference. In Part B, we apply those implementations to a real-world scenario.
We implementing the following concepts as we work through the case study:
The z-statistic
The t-statistic
The Central Limit Theorem
Estimation of the population standard deviation and mean, from a sample
Sampling distribution of a test statistic, particularly for the mean
Calculating confidence intervals and p-values
Hypothesis testing