Course detail

Statistical Software

FSI-0SS Acad. year: 2025/2026 Summer semester

The course is intended as a computer support for students taking up course Mathematics IV. The main purpose of this course is to introduce statistics software Minitab, and expanding upon basic statisticall skills. The acquired pieces of knowledge can be used in semester and diploma projects.

Language of instruction

Czech

Number of ECTS credits

2

Entry knowledge

Knowledge of basic methods of descriptive statistics, probability theory and mathematical statistics is assumed.

Rules for evaluation and completion of the course

Course-unit credit requirements: Continuous active work at seminars.
Attendance at seminars is controlled and the teacher decides on the compensation for absences.

Aims

Students will get acquainted with the Minitab program, which is a tool for statistical and probability calculations. They will learn to use this software with broader capabilities than those required in the Mathematics IV course, enabling them to perform calculations necessary for semester projects. Furthermore, their knowledge of applying basic principles of probability and statistics will be expanded, including measurement system analysis, control charts, process capability, and non-parametric hypothesis tests.

The study programmes with the given course

Programme B-MET-P: Mechatronics, Bachelor's, elective

Programme B-MAI-P: Mathematical Engineering, Bachelor's, elective

Programme B-FIN-P: Physical Engineering and Nanotechnology, Bachelor's, elective

Programme B-ZSI-P: Fundamentals of Mechanical Engineering, Bachelor's
specialization MTI: Materials Engineering, elective

Programme B-ZSI-P: Fundamentals of Mechanical Engineering, Bachelor's
specialization STI: Fundamentals of Mechanical Engineering, elective

Type of course unit

 

Computer-assisted exercise

26 hours, compulsory

Syllabus

1. Information about statistical software Minitab.
2. Basic types of random variables distributions.
3. Control charts
4. Process capability I
5. Process capability II
6. MSA Measurement system analysis I
7. MSA measurement system analysis II
8. Statistical hypotheses testing and confidence intervals
9. The semester assignment 4M.
10. Nonparametric hypotheses testing
11. Logistic regression