Course syllabus adopted 2022-02-17 by Head of Programme (or corresponding).
Overview
- Swedish nameMatematisk statistik
- CodeLKT325
- Credits7.5 Credits
- OwnerTIKEL
- Education cycleFirst-cycle
- Main field of studyMathematics
- DepartmentMATHEMATICAL SCIENCES
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language Swedish
- Application code 64127
- Maximum participants35
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0104 Examination 7.5 c Grading: TH | 0 c | 7.5 c | 0 c | 0 c | 0 c | 0 c |
|
In programmes
Examiner
Ottmar Cronie- Senior Lecturer, Applied Mathematics and Statistics, Mathematical Sciences
Eligibility
General entry requirements for bachelor's level (first cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
The same as for the programme that owns the course.Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
Courses in Calculus and Linear AlgebraAim
The course intends to give the students knowledge in basic probability theory and statistical inference. This knowledge is essential for the understanding of the statistical methods and tests used in technical and natural sciences.Learning outcomes (after completion of the course the student should be able to)
- understand how different situations are influenced by chance, - calculate risks, - draw conclusions from surveys, - plan experiments using factorial and fractional factorial designs.Content
Descriptive statistics, elementary probability, dependent and independent events, discrete and continuous distributions, expectation, variance, the central limit theorem (without proof), interval estimation. Hypotheses tests, the power of tests, analysis of variance. Experimental designs, factorial designs, fractional factorial designs, blocking, randomisation.Organisation
The course consists of 28 lectures and 7 exercises are included and one obligatory laboratory work.Literature
See the course web pageExamination including compulsory elements
To pass the course the student must pass both a thesis and some computer laboratory works. The maximum point on the thesis is always 50. To pass the thesis one needs to get at least 20p. To get class 3 the student needs at least 20 p, for class 4 30p and for class 5 40p.The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.