This case study is to apply the concepts associated with Frequentist inference in Python.
The following statistical concepts are included in the case studies:
the z-statistic, the t-statistic, the difference and relationship between the two, the Central Limit Theorem, including its assumptions and consequences, how to estimate the population mean and standard deviation from a sample, the concept of a sampling distribution of a test statistic, particularly for the mean, how to combine these concepts to calculate a confidence interval,