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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 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.

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 Mathematics D or Mathematics 3c, alternatively completed course Basic Mathematics and Chemistry, 6 credits.

Level of Education: Bachelor G1N
Course code/Ladok code: TMSG14
The course is conducted at: School of Engineering

Previous and ongoing course occasions

Type of course
Program
Study type
Campus
Semester
Spring 2017: Jan 16 - Mar 05
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Course coordinator
Thomas Biro
Examiner
Thomas Biro
Tuition fees do NOT apply for EU/EEA citizens or exchange students
12600kr
Syllabus
HTML  PDF
Application code
HJ-T7014
Type of course
Single subject
Study type
Campus
Semester
Spring 2017: Jan 16 - Mar 05
Rate of Study
50%
Language
English
Location
Jönköping
Time
Day
Number of places
10
Course coordinator
Fredrik Abrahamsson
Tuition fees do NOT apply for EU/EEA citizens or exchange students
12600kr
Syllabus
HTML  PDF
Application code
HJ-23102
Last modified 2017-05-15 14:44:02