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Master's Statistics for Economists

Type of study Follow-up Master
Language of instruction English
Code 151-0009/04
Abbreviation ISE
Course title Master's Statistics for Economists
Credits 5
Coordinating department Department of Mathematical Methods in Economics
Course coordinator Mgr. Taťána Funioková, Ph.D.

Subject syllabus

1. Basics of descriptive statistics - review.
2. Population and sampling.
3. Estimation of population parameters.
4. Testing statistical hypotheses.
5. Two sample parametric tests.
6. Nonparametric comparison tests.
7. Analysis of variance ANOVA.
8. Selected nonparametric tests.
9. Measuring the dependence of categorical variables.
10. Simple linear correlation and regression.
11. Estimating and testing regression models.
12. Multiple and nonlinear regression models.
13. Research methods and statistics.

E-learning

The course is supported by an interactive course in the LMS Moodle.
Ongoing assignments are submitted and assessed via LMS Moodle.

Literature

CAMM, J. D. et all. Statistics for business and economics. 15th Edition. Boston: Cengage Learning, 2023. ISBN 978-0357715857 .
ROWNTREE, D. Statistics without Tears: An Introduction for Non-Mathematicians. London: Penguin UK, 2018. ISBN 978-0141987491 .
ZAIONTZ C. Real Statistics Using Excel Succinctly. [online] Morrisville: Syncfusion, 2015. ISBN 978-1-64200-078-8 . Available from: https://www.syncfusion.com/succinctly-free-ebooks/statistics.

Advised literature

ANDERSON, D. et all. Statistics for business and economics. 5th ed. Boston: Cengage Learning EMEA, 2020. ISBN 978-1473768451 .
FROST, J. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions. State College (PA): Statistics by Jim Publishing, 2020. ISBN 978-1735431154 .
SALKIND, N. J. and FREY, B. B. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel. Fifth Edition. Thousand Oaks: SAGE, 2021. ISBN 978-1071803882 .


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