Statistics for comparisons using R

This practical workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute, report, and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 

Learning Objectives

  • Choose the right statistical test appropriate for the data and the research questions
  • Carry out inferential statistics in R
  • Generate plots, figures and tables of hypothesis tests using specific R packages
  • Interpret and report the results of a range of commonly-used statistical tests

Syllabus

  • An introduction to hypothesis testing terminology
  • Correlation analysis between two continuous variables
  • Statistical tests for both categorial and continuous variables
  • ANOVA - testing with more than two groups

For more information contact training@qfab.org