The course is divided in to three main components.

A – Introduction to the statistics in R and R-studio. The basic functions in R, how to import and manipulate data. Visual presentation of data.
B – Review of basic statistical concepts, hypothesis testing, different types of variables. Statistical tests for continuous and discrete variables. Using R for statistical analysis and tests for the validity of assumptions of the tests.
C – Practical application of statistics in graduate student projects. Each students plans statistical analysis in his/her project, identifies suitable statistical tests and present to the group for discussion. methods.

Learning outcomes

Upon completing the course, the students should

know how to use R either in R studio or directly through script fields
be able to summarise and display data visually
be familiar with common statistical tests for discrete and continuous variables
understand the assumptions for the above statistical tests and know how to test for them
be able to independently analyse data from their graduate work.

Files/Documents

Statistics