Code: 101MPRS Probability and Statistics
Lecturer: prof. RNDr. Daniela Jarušková CSc. Weekly load: 2P+2C Completion: EX
Department: 11101 Credits: 4 Semester: W,S
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:
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.

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