Hypothesis Testing in Public Health

Within module one, you will learn about sample statistics, sampling distribution, and the central limit theorem. You will have the opportunity to test your knowledge with a practice quiz and, then, apply what you learned to the graded quiz.

Module two builds upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data.

Within module three, confidence intervals are discussed at length and ratios are discussed again. The module covers comparison measures between populations, including means of continuous outcomes, binary comparisons, and incidence rate ratios.

Within module four, you will look at statistical hypothesis tests, confidence intervals, and p-value. The module covers comparing means between populations using both paired and unpaired approaches.

This module covers advanced hypothesis testing methods including z-test approach, chi-square tests, Fisher's exact test, and comparing incidence rates between populations. It also includes ANOVA and survival curve analysis.

During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception.