Probability and Statistics
Code  Completion  Credits  Range  Language 

101MPRS  ZK  4  2P+2C  English 
 Garant předmětu:
 Daniela Jarušková
 Lecturer:
 Daniela Jarušková
 Tutor:
 Daniela Jarušková
 Supervisor:
 Department of Mathematics
 Synopsis:

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.
 Requirements:

Basic calculus. (Derivation and integration).
 Syllabus of lectures:

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.
 Syllabus of tutorials:

Excercises follow the lectures. Excel is used to solve the problems.
 Study Objective:

The goal is to get a basic knowledge in probability and inferential statistics.
 Study materials:

!Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN13:9780538733526
 Note:
 Timetable for winter semester 2024/2025:
 Timetable is not available yet
 Timetable for summer semester 2024/2025:
 Timetable is not available yet
 The course is a part of the following study plans:

 Civil Engineering (compulsory elective course)
 Civil Engineering (compulsory elective course)