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