Hypothesis Testing
As we attempt to make discoveries, we test new hypotheses using experimental data and hope that a sceptical and discerning person would start to believe the claims we make. Hypothesis testing, a branch of statistics, is a step we can rely on to bolster our claims. In this workshop, you will gain a fundamental understanding of common hypothesis-testing concepts and terms, such as null hypothesis, alternative hypothesis, type I error, type II error, p-value, and power.
This is an intermediate workshop in the Biostats series . Prior experience with statistics and experimental design is required. See introductory workshop:
You can access these materials remotely at any time and go through them at your own pace. Here's how:
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