ESF:BKM_ZASE Elementary introductory stat. - Course Information
BKM_ZASE Elementary introductory statistics
Faculty of Economics and AdministrationSpring 2024
- 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.
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
- Fri 23. 2. 12:00–15:50 VT204, Sat 13. 4. 12:00–15:50 VT204, Sat 4. 5. 16:00–19:50 VT204
- 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
- Finance, accountancy and taxes (programme ESF, B-FUD)
- Business Management (programme ESF, B-PM)
- 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
- 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
- recommended literature
- WEISS, N. A. Introductory statistics. Edited by Carol A. Weiss. 10th edition, global edition. Boston: Pearson, 2017, 763, 73. ISBN 9781292099729. info
- BUDÍKOVÁ, Marie, Tomáš LERCH and Štěpán MIKOLÁŠ. Základní statistické metody. 1. vyd. Brno: Masarykova univerzita, 2005, 170 pp. ISBN 978-80-210-3886-8. 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
- 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. - Listed among pre-requisites of other courses
- BKM_APS1 Applied Statistics 1
forma(K) && !BKM_ZASE
- BKM_APS1 Applied Statistics 1
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/econ/spring2024/BKM_ZASE