BKM_APS2 Applied Statistics 2

Faculty of Economics and Administration
Autumn 2024
Extent and Intensity
0/0/0. 6 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
Mgr. Lenka Zavadilová, Ph.D. (lecturer)
Guaranteed by
Mgr. Lenka Zavadilová, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sat 5. 10. 12:00–15:50 VT206, Fri 29. 11. 16:00–19:50 VT206, Fri 13. 12. 12:00–15:50 VT206
Prerequisites
BKM_APS1 Applied Statistics 1 && FORMA(K)
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.

The capacity limit for the course is 26 student(s).
Current registration and enrolment status: enrolled: 14/26, only registered: 0/26
fields of study / plans the course is directly associated with
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
  • JANÁČEK, Julius. Statistika jednoduše : průvodce světem statistiky. První vydání. Praha: Grada Publishing, 2022, 120 stran. ISBN 9788027117383. URL info
  • 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
Study support
https://is.muni.cz/auth/el/econ/podzim2024/BKM_APS2/index.qwarp
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.
The course is also listed under the following terms Autumn 2022, Autumn 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2024/BKM_APS2