Table of Contents:
  • R and RStudio®
  • Data, variables, and data management
  • Data frequencies and distributions
  • Central tendency and variability
  • Creating and interpreting univariate and bivariate data visualizations
  • Conceptual overview of hypothesis testing and effect size
  • Relationships between categorical variables
  • Comparing one or two means
  • Comparing means across three or more groups (ANOVA)
  • Correlation and bivariate regression
  • Multiple regression
  • Advanced regression topics.