Mathematical Statistics 6 Credits

The course focuses on the basic proability theory and relevant statistical inference methods that are used when analyzing a data set. Random variability is a fundamental concept.

Course Contents

The course includes the following topics:
- Basic probability theory
- Random variables
- Discrete and continuous distributions, especially the normal distribution
- Central limit theorem with applications
- Descriptive statistics
- Point estimates and interval estimates
- Hypothesis testing

Prerequisites

General entry requirements and completed course Single Variable Calculus, 9 credits or Basic Calculus, 6 credits (or the equivalent).

Level of Education: Undergraduate G1F
Course code/Ladok code: TMAK17
The course is conducted at: School of Engineering Last modified 2023-03-17 13:15:18