Statistics

Course guarantor:

Ivan Nagy, Tetiana Reznychenko, Evženie Uglickich

Lecturer:

Ivan Nagy, Tetiana Reznychenko

Tutor:

Ivan Nagy, Tetiana Reznychenko

Supervisor:

Department of Applied Mathematics

Synopsis:

Definition of probability, random variable and its description, known distributions, random vector, function of random variable. Methods of point estimation. Testing of statistical hypothesis. Regression and correlation, linear regression, correlation coefficient, coefficient of determination, the general linear model, statistical inference in linear regression, analysis of variance, multiple regression, the use of matrices in regression.

Requirements:

Basic course of algebra and mathematical analysis.

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

To improve student's knowledge of probability and to teach and exercise students the basis algorithms for static data analysis.

Study materials:

Anděl J.: Matematická statistika, Praha, SNTL, 1974

Budínský P., Dohnal G.: Tématické okruhy a celky z předmětu Matematika IV., Praha, doplňkové skriptum ČVUT, 1991

Likeš J., Machek J.: Matematická statistika, Praha, SNTL, 1983

Něničková A.: Matematická statistika ? cvičení, Praha, Vydavatelství ČVUT, 1992

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
Thu	roomHO:A-330 Nagy I. 08:00–09:30 (lecture parallel184) Horská 3 (stará budova) roomHO:B-101 Nagy I. 09:45–11:15 (parallel nr.184) Horská 3 (nová budova)
Fri

The course is a part of the following study plans:

• Bachelor PIL (EN) Full-Time from 2022/23 (compulsory course)
• Bachelor PIL (EN) Full-Time from 2023/24 (compulsory course)
• Bachelor PIL (EN) Full-Time from 2024/25 (compulsory course)