Course detail

Applied Statistics

FP-asPAcad. year: 2023/2024

Random Variables, Methods of Mathematical Statistics, Statistical Process Control, Process Capability Indices, Inventory Management.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Entry knowledge

Fundamentals of probability theory and mathematical statistics.

Rules for evaluation and completion of the course

GRADED COURSE-UNIT CREDIT:
The graded course-unit credit will be awarded on the folloving conditions:
- participation in final test

The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved in control tests,

The grades and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
Attendance at lectures is not compulsory but is recommended.
Attendance at exercises is not compulsory but is recommended.

Aims

The objective of the course is to learn students to work with the random variables, to work with statistical data sets, to use methods of statistical process control, process capability indices, to evaluate the characteristics of inventory management.
Students will be made familiar with the methods of mathematical statistics, to evaluate and control the production process with methods of statistical process control and process capability index, to evaluate the characteristics of inventory management.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KROPÁČ, J. Statistika A. 3. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3587-2.
KROPÁČ, J. Statistika B. 2. vyd. Brno : FP VUT, 2009. ISBN 978-80-214-3295-6.
KROPÁČ, J. Statistika C. 1. vyd. Brno : FP VUT, 2008. ISBN 978-80-214-3591-9.

Recommended reading

ČSN ISO 8258: Shewhartovy regulační diagramy. ČNI Praha, 1993.
TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X.
KROPÁČ, J. Statistika. 1. vyd. Brno : FP VUT, 2010. ISBN 978-80-214-3866-8.

Classification of course in study plans

  • Programme MGR Master's

    branch MGR-ŘEP , 1. year of study, winter semester, compulsory

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

Syllabus

Topics of lectures are the following:
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management

Exercise

26 hours, compulsory

Teacher / Lecturer