- Description:
-
The goal is to get a basic knowledge in probability and inferential statistics.
Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.
- Contents:
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Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.
- Seminar contents:
-
Excercises follow the lectures. Excel is used to solve the problems.
- Recommended literature:
-
!Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN-13:978-0-538-73352-6
- Keywords:
- Mathematical statistics. Probability. Statistical methods.
Abbreviations used:
Semester:
- W ... winter semester (usually October - February)
- S ... spring semester (usually March - June)
- W,S ... both semesters
Mode of completion of the course:
- A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
- GA ... Graded Assessment (a grade is awarded for this course)
- EX ... Examination (a grade is awarded for this course)
- A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)
Weekly load (hours per week):
- P ... lecture
- C ... seminar
- L ... laboratory
- R ... proseminar
- S ... seminar