639-0930/01 – Statistical Processing of Experimental Data (SZED)
| Gurantor department | Department of Quality Management | Credits | 10 |
| Subject guarantor | Ing. Filip Tošenovský, Ph.D. | Subject version guarantor | prof. RNDr. Josef Tošenovský, CSc. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | Czech |
| Year of introduction | 1999/2000 | Year of cancellation | 2012/2013 |
| Intended for the faculties | FMT | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Knowledge of elementary methods of mathematical statistics: calculation of
basic characteristics, parameter estimation, hypothesis testing, regression and correlation analysis
Real data analysis
Teaching methods
Lectures
Individual consultations
Project work
Summary
The subject follows up on probability theory. It uses the tools of probability to present estimation of population parameters, hypothesis testing, modelling of technological processes with regression models and their assessment by correlation analysis. Multivariate regression is taught under the required theoretical conditions. Correlation analysis shows ways of measuring dependence for various types of variables.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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