457-0703/03 – Special Methods of Data Analysis (SMAD)
| Gurantor department | Department of Applied Mathematics | Credits | 5 |
| Subject guarantor | prof. Ing. Radim Briš, CSc. | Subject version guarantor | prof. Ing. Radim Briš, CSc. |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 5 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 1999/2000 | Year of cancellation | 2009/2010 |
| Intended for the faculties | HGF | Intended for study types | Master |
Subject aims expressed by acquired skills and competences
The aim of the subject is mastering of both the basic and also special statistical techniques of statistical data analysis.
Teaching methods
Lectures
Tutorials
Project work
Summary
Spesial methods of data analysis are introduced, as for example ANOVA, Multiple linear regression models, etc.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Semestral project (max. 11 points)
Tests (max. 22 points)
E-learning
Other requirements
Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Exploratory data analysis, types of variables, Exploratory analysis of single discrete and continuous variables, summarization of distributions.
Statistical inference. Point and interval estimation, hypothesis testing, pure significance tests, p-values, two sample tests, paired difference tests.
One factor analysis of variance, ANOVA table, multiple comparisons, post hoc analysis.
ANOVA for two factors.
Linear regression models, least squares estimation of)parameters and properties of the estimates.
Multiple regression models.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction