Mathematical statistics for technicians

Code	Completion	Credits	Range	Language
101YMST	Z	2	1P+1C	Czech

Garant předmětu:

Daniela Jarušková

Lecturer:

Daniela Jarušková

Tutor:

Daniela Jarušková

Supervisor:

Department of Mathematics

Synopsis:

Inferential statistics. Theory of probability. Random variables and its characteristics. Basic methods of mathematical statistics.

Requirements:

Basic calculus.

Syllabus of lectures:

1. Difference between descriptive and inferential statistics.

2. Probability. Conditional probability. Independence of random events.

3. Discrete random variables, probability distribution, expectation, variance, examples of discrete distributions.

4. Continuous distribution. Density. Distribution function. Quantiles.

5. Normal distribution.

6. Parameters estimation. Confidence intervals.

7. Linear regression. Estimation of parameters. Prediction

Syllabus of tutorials:

1. Descriptive statistics in Excel.

2. Normal distribution in Excel.

3. Theory of estimation. Confidence intervals.

4. Two-sample problems.

5. Monte Carlo methods.

Study Objective:

To get a basic knowledge of statistical methods.

Study materials:

Jay L. Devore: Probability and Statistics for Engineering and the Sciences, Duxbury.

Note:

Time-table for winter semester 2023/2024:

Time-table is not available yet

Time-table for summer semester 2023/2024:

	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	roomTH:B-686 08:00–08:50 (lecture parallel1) Thákurova 7 (budova FSv) B686roomTH:B-686 09:00–09:50 (lecture parallel1 parallel nr.101) Thákurova 7 (budova FSv) B686
Fri

The course is a part of the following study plans: