Course detail
Applied Statistic Methodology
FP-RmasKAcad. year: 2017/2018
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 contents:
Random variable, mathematical statistics, statistical process control, capability index, statistical acceptance sampling, inventory management.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:
- points achieved by computer-aided calculation of projects
- points achieved by exam
The grades and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
Course curriculum
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Regression analysis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
The topics of exercises correspond to the topics of lectures.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Attendance at exercises is not compulsory but is recommended. and is checked by the tutor.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
KROPÁČ, J. Statistika C. 2. vyd. Brno: Akademické nakladatelství CERM, 2012. 100 s. ISBN 978-80-7204-789-5.
Recommended reading
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.
Classification of course in study plans
- Programme MGR-KS Master's
branch MGR-ŘEP-KS , 1 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
Basic contents:
Random variable,
mathematical statistics,
statistical process control,
capability index,
statistical acceptance sampling ,
inventory management.
Guided consultation in combined form of studies
Teacher / Lecturer
Syllabus
Basic contents:
Random variable,
mathematical statistics,
statistical process control,
capability index,
statistical acceptance sampling ,
inventory management.