Course detail
Applied Statistics
FP-asPAcad. year: 2022/2023
Random Variables, Methods of Mathematical Statistics, Statistical Process Control, Process Capability Indices, 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 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).
Course curriculum
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Regression analysis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
The topics of exercises correspond to the topics delt with the lectures.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Attendance at exercises is not compulsory but is recommended.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
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
KROPÁČ, J. Statistika. 1. vyd. Brno : FP VUT, 2010. ISBN 978-80-214-3866-8.
TOŠENOVSKÝ, J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex a.s. ISBN 80-7225-040-X.
Classification of course in study plans
- Programme MGR Master's
branch MGR-UFRP-D , 2 year of study, winter semester, compulsory
branch MGR-ŘEP , 1 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Discrete Random Variables
- Continuous Random Variables
- Data samples
- Testing statistical hypothesis
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management