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

Prior knowledge of R is required as the basics of R will not be covered

• 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