COURSE SYLLABUS
Mathematical Statistics SSCM, 7.5 credits
Matematisk statistik SSCM, 7,5 högskolepoäng
Course Syllabus for students Spring 2023
| Course Code: | TMSK19 |
| Confirmed by: | Dean Dec 4, 2018 |
| Revised by: | Director of Education Nov 5, 2021 |
| Valid From: | Jan 1, 2022 |
| Version: | 3 |
| Education Cycle: | First-cycle level |
| Disciplinary domain: | Natural sciences
|
| Subject group: | MA1
|
| Specialised in: | G1F
|
| Main field of study: | Industrial Engineering and Management |
Intended Learning Outcomes (ILO)
After a successful course, the student shall
Knowledge and understanding
- display knowledge of the most common methods that is used to numerically and graphically describe a data set
Skills and abilities
- demonstrate the ability to perform basic probability calculations involving random variables
- demonstrate the ability to compute estimates of relevant statistical parameters from a random sample
- demonstrate the ability to perform different types of hypothesis tests and compute the power of such a test in the case of normal distribution assumption
- demonstrate the ability to use relevant software to perform simple linear regression analysis
Judgement and approach
- display an understanding of the concept of random variability and judge the benefits and risks of using different statistical models.
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
- Linear Regression analysis
Type of instruction
Lectures and tutorials.
The teaching is conducted in English.
Prerequisites
General entry requirements and completed course in Basic Calculus, 7,5 credits
Examination and grades
The course is graded 5,4,3 or Fail.
Registration of examination:
| Name of the Test | Value | Grading |
|---|
| Written Examination | 7.5 credits | 5/4/3/U |
Course literature
The literature list for the course will be provided 8 weeks before the course starts.
Title: Probability, Statistics and stochastic Processes
Autor: Peter Olofsson, Mikael Andersson
ISBN: 9780470889749
