## About this course

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.

## Expected learning outcomes

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

## Course requirements

Basic course of algebra and mathematical analysis.

## Activities

The main goal of the subject is to teach students the analysis of a measured static data sample. To this end, the basics of statistic estimation, testing of hypotheses and regression analysis are lectured. All tasks from the theory are practicaly used on comuter in the exercises.

- Local course code
**11STAT-E** - Study load
**ECTS 4** - Level
**bachelor** - Contact hours per week
**4** - Instructors
**doc. Ing. Uglickich Evženie CSc., doc. Ing. Nagy Ivan CSc., Reznychenko Tetiana** - Mode of delivery
**Online - at a specific time** - Course coordinator

### Start date

19 February 2024

- End date
**22 September 2024** - Main language
**English** - Apply between
**11 Dec and 19 Jan 2024**

Enrolment period closed