Mathematical Statistics 6 CreditsThe 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.
- 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
PrerequisitesGeneral entry requirements and Mathematics D or Mathematics 3c, alternatively completed course Basic Mathematics and Chemistry, 6 credits.
Level of Education: Undergraduate G1N
Course code/Ladok code: TMSG14
The course is conducted at: School of EngineeringLast modified 2016-04-05 08:42:48