Mathematical Statistics 7.5 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 focuses on basic proability theory and relevant statistical inference methods that are used when analyzing a data set. Random variability is a fundamental concept.
The course includes the following elements:
- Basic probability theory
- Random Variables
- Discrete and continuous distributions, especially the normal distribution
- The Central limit theorem with applications
- Descriptive statistics
- Point estimates and interval estimates
- Hypothesis testing
- Simple linear regression analysis
- Correlation
Prerequisites
General entry requirements and completed course Single Variable Calculus, 7,5 credits (or the equivalent).
Level of Education: First cycle
Coursecode/Ladok code: TMSK17
The course is conducted at: School of Engineering
| Label | Value |
|---|---|
| Type of course | Programme instance course |
| Study type | Normal teaching |
| Semester | Spring 2026: week 13 – week 23 |
| Rate of study | 100% |
| Language | English |
| Location | Jönköping |
| Time | Day-time |
| Tuition fees do NOT apply for EU/EEA citizens or exchange students | 21375 SEK |
| Syllabus (PDF) | |
| Application code | HJ-T6029 |