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Statistics B

Type of study Follow-up Master
Language of instruction Czech
Code 151-0334/03
Abbreviation Stat B
Course title Statistics B
Credits 5
Coordinating department Department of Mathematical Methods in Economics
Course coordinator doc. Ing. Václav Friedrich, Ph.D.

Subject syllabus

1. Basics of descriptive statistics - review.
2. The population and random sampling.
3. Distribution of random sampling characteristics.
4. Estimation of the population parameters.
5. Testing statistical hypotheses.
6. Two-sample parametric tests.
7. Selected non-parametric tests.
8. Analysis of variance ANOVA.
9. Measurement of categorical variables independence.
10. Simple linear correlation and regression.
11. Estimation and testing in a regression models.
12. Multiple and non-linear regression models.
13. Research methods and statistics.

E-learning

The course is supported by an interactive course in LMS Moodle.
Ongoing tasks 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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