7,5 credits

Introductory course, prerequisites: an introductory course in probability

 

There are two main components of the course. The first component is the theory of fundamental statistics. It includes:

• confidence intervals, t-distribution, hypotheses testing and p-value.
• analysis of variance (ANOVA)
• regression models: simple linear regression, multivariate linear regression and logistic regression.
• statistical model choice.

The second part is implementation of the first part using statistical software

Syllabus

Course Literature