DEcember
Hypothesis Testing
The Null Hypothesis
Type I and Type II Errors
Statistical Power and Sample Size
Statistical Tests
Parametric Tests: t-test and ANOVA
Nonparametric Tests: Rank Tests and Chi-Square
Content Outline Learning Objectives:
Distinguish the null hypothesis from an alternative hypothesis
Interpret the results of hypothesis testing
Understand when to use and how to interpret the chi-square test
Understand when to use and how to interpret tests comparing continuous variables between two groups (t-test, Mann-Whitney U)
Understand when to use and how to interpret tests comparing continuous variables between three or more groups (ANOVA, Kruskal-Wallis)
Understand when to use paired tests
Understand the appropriate use of parametric versus nonparametric tests
Identify a type I error
Identify a type II error
Understand how sample size affects the power of a study
Supplemental Reading:
Intuitive Biostatistics (4th Edition) Chapters: 15-16, 18-20, 26-27, 30-31, 39, 41