Course detail

# Applied Statistic Methodology

The course deals with main ideas and methods of mathematical statistics, evaluation and checking the production process with methods of statistical process control and process capability index, determination of the characteristics of acceptance sampling and inventory management, basic concepts and methods of solving matrix games.

Basic contents:

Random variable, mathematical statistics, statistical process control, capability index, statistical acceptance sampling, inventory management, matrix games.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

Students will gain knowledge of mathematical statistics, will be able to evaluate and control the production process with methods of statistical process control and process capability index, to evaluate the characteristics of acceptance sampling and inventory management, to analyze conflicting decision situations.

Prerequisites

Basic knowledge of probability theory, descriptive statistics and mathematical statistics is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching consists of lectures that have an explanation of basic principles and methodology of the discipline, pratical problems and their sample solutions.

Assesment methods and criteria linked to learning outcomes

The course-unit credit is awarded on the following conditions

Exam (max. 100 points)

Seminar work during the semester 40 points

Final written or oral exam 60 points

Grades and corresponding points: A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY Exam (max. 100 points)

Seminar work during the semester 40 points

Final written or oral exam 60 points

Grades and corresponding points: A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).

Course curriculum

Topics of lectures are the following:

- Random Variables

- Data Samples

- Parametric tests of hypotheses

- Non-parametric tests of hypotheses

- Statistical Process Control

- Process Capability Index

- Acceptance Sampling

- Inventory Management

- Matrix Games

Work placements

Not applicable.

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 indexes, acceptance sampling, inventory management and analyze conflicting decision situations.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is not mandatory but is recommended.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Studijní materiály vystavené na e-learningu. (CS)
KROPÁČ, J. Statistika C. 2. vyd. Brno: Akademické nakladatelství CERM, 2012. 100 s. ISBN 978-80-7204-789-5. (CS)
CSN ISO 8258 Shewhartovy regulační diagramy. Praha: Český normalizační institut, 1994. (CS)

KROPÁČ, J. Statistika A. 4. vyd. Brno: Fakulta podnikatelská, 2011. ISBN 978-80-214-4226-9.
KROPÁČ, J. Statistika B. 2. vyd. Brno: Fakulta podnikatelská, 2009. ISBN 978-80-214-3295-6.
KUPKA, K. Statistické řízení jakosti. Pardubice: TriloByte Statistical Software, 1997. ISBN 80-238-1818-X.
MONTGOMERY, D.C. Introduction to Statistical Quality Control. 6 ed. John Wiley & Sons, 2005. ISBN 978-0-470-16992-6.
TOŠENOVSKÝ, J. a D. NOSKIEVIČOVÁ. Statistické metody pro zlepšování jakosti. 1.vyd. Ostrava: Montanex, 2000. ISBN 80-7225-040-X.

eLearning

Classification of course in study plans

• Programme MGR-SRP-KS Master's, 1. year of study, winter semester, compulsory
• Programme MGR-IM-KS Master's, 2. year of study, winter semester, compulsory

#### Type of course unit

Guided consultation in combined form of studies

16 hours, optionally

Teacher / Lecturer

Syllabus

Consultation takes the form of personal meetings or through electronic communication.

eLearning