ESF:BKM_APS2 Applied Statistics 2 - Course Information
BKM_APS2 Applied Statistics 2
Faculty of Economics and AdministrationAutumn 2022
- Extent and Intensity
- 26/0/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Lenka Zavadilová, Ph.D. (lecturer)
- Guaranteed by
- Mgr. Lenka Zavadilová, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration - Timetable
- Fri 7. 10. 16:00–19:50 VT204, Fri 21. 10. 16:00–19:50 VT204, Sat 12. 11. 8:00–11:50 VT204
- Prerequisites
- BKM_APS1 Applied Statistics 1
The basic terms in calculus of probability. To enrol in a course basic computer skills are needed. Basic knowledge of the R programming language, which will be used in the course, is an advantage. The recommended prerequisite is studying the course BKM_UVOR Introduction to R. - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Business Analytics (programme ESF, B-BA)
- Course objectives
- At the end of the course students should be able to:
- understand and explain the basics of statistical inference;
- use the basic testing procedures;
- operate the statistical software. - Learning outcomes
- After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of software environment R
- interpret properly outputs of analyses - Syllabus
- - Normal as well as derived exact distributions (Pearson distribution, Student distribution, F distribution) and their properties; quantile tables.
- - Law of large numbers, central limit theorem.
- - Basic concepts of mathematical statistics; inductive statistics, random sampling, sample statistic.
- - Point estimation and interval estimation of population parameters and parametric functions.
- - Introduction to hypotheses testing.
- - The statistical inferences based on a single sample from normal distribution.
- - The statistical inferences based on two independent samples from the normal distribution.
- - The statistical inferences based on one sample or two independent samples from Bernoulli (zero-one) distribution.
- - One-way analysis of variance.
- - Simple linear regression.
- - Introduction to correlation analysis.
- - The relationship between two variables on the nominal or ordinal scale
- - Nonparametric tests on medians
- Literature
- required literature
- BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010, 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
- https://www.r-project.org/
- KONEČNÁ, Kateřina and Jan KOLÁČEK. Jak pracovat s jazykem R (How to work with R language). 2011, 84 pp. info
- recommended literature
- NOVÁK, Ilja, Richard HINDLS and Stanislava HRONOVÁ. Metody statistické analýzy pro ekonomy. 2. přepracované vyd. Praha: Management Press, 2000, 259 s. ISBN 80-7261-013-9. info
- https://www.r-bloggers.com
- Teaching methods
- Practically oriented tutorials with an emphasis on the active students' approach.
Individual study of recommended literature, autokorection tests, individual work on assigned tasks. - Assessment methods
- To complete the course, the elaboration and defence of a semestral project are needed. In evaluation, the emphasis is placed on appropriate methods selection and performance, correct interpretation and presentation of results.
The course is completed by written exam consisting of theoretical and practical parts. - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
- Enrolment Statistics (Autumn 2022, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2022/BKM_APS2