What you'll learn

Skills you'll gain

There are 6 modules in this course

Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.

Confidence Intervals for Single Population Parameters

Confidence Intervals for Population Comparison Measures

Two-Group Hypothesis Testing: The General Concept and Comparing Means

Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing

Project

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