Course detail
Applied Statistics
FP-asKAcad. year: 2023/2024
Random Variables, Methods of Mathematical Statistics, Pivot tables, Correlation Analysis, Multinomial Regression, Statistical Process Control, Process Capability Indices, Inventory Management.
Language of instruction
Czech
Number of ECTS credits
4
Mode of study
Not applicable.
Guarantor
Department
Entry knowledge
Fundamentals of probability theory and mathematical statistics.
Theory of probability, random variables, random vectors.
Theory of probability, random variables, random vectors.
Rules for evaluation and completion of the course
Přibližný počet výsledků: 211 000 000 (0,40 s)
Čeština
Angličtina
exam
test at the end of the semester (first dates in December, then about 2 more dates in the exam period)
the test contains questions from theory as well as practical examples
to pass the exam you need to get at least 50% of the points from the test
Marks and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
In the case of distance testing, the exam will be solved during the semester, but it will take place similarly as if it were held in full-time form (test in electronic form + oral exam in theory via Microsoft Teams)
Attendance at lectures is not compulsory but is recommended.
Čeština
Angličtina
exam
test at the end of the semester (first dates in December, then about 2 more dates in the exam period)
the test contains questions from theory as well as practical examples
to pass the exam you need to get at least 50% of the points from the test
Marks and corresponding points:
A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
In the case of distance testing, the exam will be solved during the semester, but it will take place similarly as if it were held in full-time form (test in electronic form + oral exam in theory via Microsoft Teams)
Attendance at lectures 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 in Excel, to estimate parameters of regression model in Excel and to interpret these parameters, to evaluate a survez in Excel, to use methods of statistical process control, process capability indices, to evaluate the characteristics of acceptance sampling and inventory management.
Students will be made familiar with the methods of mathematical statistics, to estimate parameters of regression model, to evaluate a survey, 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.
Students will be made familiar with the methods of mathematical statistics, to estimate parameters of regression model, to evaluate a survey, 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.
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.
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.
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.
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-KS Master's
branch MGR-ŘEP-KS , 1 year of study, winter semester, compulsory
Type of course unit
Guided consultation in combined form of studies
16 hod., optionally
Teacher / Lecturer