Probability and Statistics

Garant předmětu:

Daniela Jarušková

Lecturer:

Daniela Jarušková

Tutor:

Daniela Jarušková

Supervisor:

Department of Mathematics

Synopsis:

Inferential statistics. Theory of probability. Random variables and their characteristics. Parameter estimation. Theory of hypotheses testing. Linear regression.

Requirements:

Basic calculus.

Syllabus of lectures:

1. Basic descriptive statistics. Inferential statistics.

2. Probability-random events, definition of probability, condition probability, independence of random events.

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

4. Continuous random variables & density, distribution functions, quantiles, expectation, variance, examples of continuous distributions.

5. Normal distribution.

6. Log-normal distribution.

7. Two-dimensional distribution, marginal distribution, independence, correlation.

8. Central limit theorem. Distribution of mean.

9. Estimation of parameters. Properties of estimators. Confidence intervals.

10. Hypotheses testing. Principle of hypotheses testing. One and two-sample problems.

11. Linear regression. Method of least squares.

12 .Linear regression. Estimation of parameters. Prediction.

Syllabus of tutorials:

1. Descriptive statistics. - Excel

2. Probability. Bayesian theorem.

3. Discrete distribution.

4. Normal distribution.

5. How to use Excel for getting different probabilities and quantiles.

6. Multiple distribution. Independence. Correlation.

7. Linear combination of normally distributed random variables.

8.Parameter estimation.

9. Two-sample test.

10. Linear regression.

11. Linear regression - prediction.

12. Monte Carlo method.

Study Objective:

Students should understand what inferential statistics brings to us and what is the role of theory of probability in it. They learn the most important statistical methods.

Study materials:

Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN-13:978-0-538-73352-6

Note:

Time-table for winter 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	roomTH:B-369 17:00–19:50 (lecture parallel1) Thákurova 7 (budova FSv) B369
Tue	roomTH:B-369 12:00–13:50 (lecture parallel1 parallel nr.101) Thákurova 7 (budova FSv) B369
Wed
Thu
Fri

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: