Statistical Reasoning for Public Health 1: Estimation, Inference, & Interpretation
A conceptual and interpretive public health approach to some of the most commonly used methods from basic statistics.
From the lesson
Module 4A: Making Group Comparisons: The Hypothesis Testing Approach
Module 4A shows a complimentary approach to confidence intervals when comparing a summary measure between two populations via two samples; statistical hypothesis testing. This module will cover some of the most used statistical tests including the t-test for means, chi-squared test for proportions and log-rank test for time-to-event outcomes.