Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.
Overview
Syllabus
- Lesson 1: Mastering Hypothesis Testing with R: Understanding and Performing T-tests
- Lesson 2: Mastering Non-Parametric Testing: The Mann-Whitney U Test in R
- Lesson 3: Mastering ANOVA in R: Analyzing Variance in Grouped Data
- Lesson 4: Mastering the Chi-Square Test in R: From Theory to Practice
