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Lecturer(s)
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Stoklasa Jan, Mgr. et Mgr. Ph.D.
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Course content
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Introduction to Statistics Univariate statistical files Publication of the results of statistical processing Basic data processing for continuous statistical code Sample, the sample method Characteristics of levels Characteristics of variability Two-dimensional statistical ensemble Simple linear regression Time series Aligning time series Index analysis
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Learning activities and teaching methods
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Work with Text (with Book, Textbook), Demonstration
- Homework for Teaching
- 24 hours per semester
- Attendace
- 14 hours per semester
- Preparation for the Exam
- 37 hours per semester
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Learning outcomes
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The aim of the course is to master the statistical calculation methods using MS Excel spreadsheet and interpretation of the results obtained in practice. In the first part the course focuses on the issue of one-dimensional descriptive statistics. The next part of the course focuses on the study of dependence variables in bivariate statistical files. It also deals with the theme of time series, their characteristics, and leveling. The following is an analysis of the indexes and indexes types used in economic practice.
1. Student describes the basic concepts and relation in statistics. 2. Student explains the use of univariate statistical files and basic data processing for discrete and continuous statistical code. 3. Student defines the characteristics of the level and variability. 4. Student describes two-dimensional statistical ensemble. 5. Students describe and calculate simple linear regression. 6. Student defines the various types of time series and the ways of their settlement.
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Prerequisites
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There are no special conditions set.
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Assessment methods and criteria
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Written exam
The course is ended with a written exam, computer can be used to carry out the necessary calculations.
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Recommended literature
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Webová strana: www.czso.cz.
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B. Marie, K. Maria, M. Bohumil. (2010). Průvodce základními statistickými metodami. Grada Publishing, a.s., Praha.
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J. Fotr, L. Švecová, kolektiv. (2016). Manažerské rozhodování - Postupy, metody a nástroje. Ekopress, Praha.
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J. Kubátová. (2004). Statistické metody pro ekonomickou praxi. Vydavatelství UP, Olomouc.
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J. Žitniak. (2017). Microsoft Office 2016 Podrobná uživatelská příručka. Computer Press, Brno.
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K. Sýkorová, J. Barilla, P. Simr. (2016). Microsoft Excel 2016 Podrobná uživatelská příručka. Computer Press, Brno.
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R. Hindls, J. Kaňoková, I. Novák. (1997). Metody statistické analýzy pro ekonomy. Management Press, Praha.
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R. Hindsl, S. Hronová, J. Seger, J. Fischer. (2007). Statistika pro ekonomy. Professional Publishing.
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