Applied Statistical Methods

Type of study	Bachelor
Language of instruction	English
Code	151-0339/03
Abbreviation	ASM
Course title	Applied Statistical Methods
Credits	4
Coordinating department	Department of Mathematical Methods in Economics
Course coordinator	doc. Ing. Václav Friedrich, Ph.D.

Subject syllabus

1. Information sources, using references and citations
2. From research objectives to hypotheses testing
3. Questionnaire survey and questionnaire design
4. Preparation of data for the questionnaire survey
5. Categorical data, frequency tables and graphs
6. Numerical data, measures of level, heterogeneity and normality
7. Item analysis in preference batteries
8. Hypothesis testing, one-sample and two-sample tests
9. Testing the percentages
10. Analysis of dependencies in tables
11. Analysis of variance, homogeneous groups
12. Advanced analysis of preference batteries

E-learning

The subject is supported by an e-learning course in LMS Moodle.
Through LMS Moodle, students complete credit assignments, submit projects and sign up for individual consultations.

Literature

MACINNES, John. An Introduction to Secondary Data Analysis with IBM SPSS Statistics. London: SAGE Publications, 2017. 336 p. .
MALHOTRA, Naresh and DASH, Satyabhusan Marketing Research: An Applied Orientation. 7th Edition. Harlow: Pearson, 2019. 888 p. ISBN 978-1292265636.
WAGNER, William E. Using IBM SPSS Statistics for Social Statistics and Research Methods. 7th Edition. Thousand Oaks: SAGE Publications, 2019. 208 p. .

Advised literature

CAMM, Jeffrey D. et al. Statistics for Business and Economics. 15th Edition. Boston: Cengage Learning, 2023. 1120 p. .
FIELD, Andy. Adventure in Statistics: The Reality Enigma. Second Edition. Los Angeles: SAGE Publications, 2022. 664 p. ISBN 978-1529797138.
WALKER, Ian. Research Methods and Statistics. 2010th Edition. London: Red Globe Press, 2010. 200 p. .

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