This course aims to familiarize students with executing a variety of statistical tests: t-tests, ANOVA and its different variations, multiple linear regression and more. The principle aim of the course is to enable students to understand which analysis is applicable for each type of data, and execute the proper analyses using R. The main focus will be on usability and application of statistical knowledge in answering research questions, and less on the mathematical background of the statistical methods. No background in programming is needed.
Topics by week:
Introduction to R
Comparing two populations: t-test.
Comparing two populations - non-parametric tests
Multiple comparisons and contrasts
Experimental design - randomized block, nested, split-plot
Experimental design - repeated measures
Data transformation, power calculations
Correlation + selected topics