BKM_ZASE Elementary introductory statistics

Faculty of Economics and Administration
Spring 2025
Extent and Intensity
26/0/0. 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
Prerequisites
FORMA(K) && ! BKM_APS1 Applied Statistics 1
To enrol in a course basic computer skills are needed. Basic knowledge of the spreadsheet program MS Excel, which will be used in the course, is an advantage.
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
Course objectives
At the end of the course students should be able to:
- understand and explain the basic terms in descriptive statistics;
- apply the descriptive statistics terms to the description of economic events and data;
- use the terminology in elementary introductory mathematical statistics.
Learning outcomes
After graduation of the course student should be able to:
- use and interpret functional and numeric characteristics within a framework of descriptive statistics
- describe types of variables with respect to measurement scale
Syllabus
  • Types of variables with respect to measurement scale
  • Data visualisation
  • Sampling, random sample
  • Basic of descriptive statistics
  • Frequency and frequency functions
  • Descriptive statistics numerical measures: mean, variance, quantile, their properties and application in economics
  • Descriptive statistics numerical measures: covariance, correlation coefficient, their properties and application in economics
  • The relationship between two variables on the nominal or ordinal scale
  • Simple linear regression
  • Normal distribution
  • Introduction to hypotheses testing
  • The statistical inferences based on a single sample from normal distribution
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
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/jaro2025/BKM_ZASE/index.qwarp
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: in blocks.
Note related to how often the course is taught: 12 hodin.
Information on the extent and intensity of the course: tutorial 12 hodin.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2024.
  • Enrolment Statistics (Spring 2025, recent)
  • Permalink: https://is.muni.cz/course/econ/spring2025/BKM_ZASE