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Mathematical Statistics 6 Credits

The course focus 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

Level of Education: Undergraduate G1F
Course code/Ladok code: TMAK17
The course is conducted at: School of EngineeringLast modified 2019-10-03 13:32:38

Content updated