Statistical Methods with Applications

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

The course consists of selected methods of statistical data analysis such as: linear regression and correlation, analysis of variance, nonparametric methods, contingency tables, and their application. The aim is to illustrate the use of statistical procedures on examples. Solutions of concrete examples by use of statistical software are also included.

Requirements:

Syllabus of lectures:

1.Hypothesis testing and confidence intervals

2.Nonparametric tests - sign and rank tests, Wilcoxon test, Kolmogorov-Smirnov test

3.Goodness-of-fit tests, Pearson chi-square test

4.Contingency tables - tests of independence and homogeneity, McNemar test

5.Linear regression and correlation, hypotheses tests for parameters, prediction intervals

6.One-way and two-way analysis of variance, Kruskal-Wallis test

Syllabus of tutorials:

Study Objective:

Study materials:

Key references:

[1] Barnett, A. I.: Applied Statistics: Models and Intuition. Dynamic Ideas LLC, 2015.

Recommended references:

[2] Marques de Sá, J. P.: Applied statistics using SPSS, STATISTICA, MATLAB and R. Springer, 2007.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Aplikované matematicko-stochastické metody (compulsory course in the program)
• Jaderné inženýrství - Aplikovaná fyzika ionizujícího záření (elective course)
• Jaderné inženýrství - Jaderné reaktory (PS)
• jaderné inženýrství - Radioaktivita v životním prostředí (elective course)