Mathematic Statistics 1

Lecturer:

Daniela Jarušková (gar.)

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

Basic knowledge about the descriptive and inferential statistics

Requirements:

Syllabus of lectures:

1. Basic ideas of statistical inference.

2. Basic notions of probability calculus.

3. Discrete and continuous random variables and its distribution.

4. Multivariate distrbutions and estimation of their parameters.

5. Hypotheses testing (one-sample and two sample problems), one-way analysis of variance. Goodness of fit tests.

6. Linear regression.

7. Generation of several types of random variables. Method of inverse transformation.

8. Application to assessing structure reliability

Syllabus of tutorials:

Study Objective:

Study materials:

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

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans: