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Statistics B

Type of study Follow-up Master
Language of instruction English
Code 151-0534/02
Abbreviation Stcs 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. Population and random sampling.
2. Distribution of random sampling characteristics.
3. Estimates of population parameters.
4. Testing of statistical hypotheses.
5. One-sample parametric statistical tests.
6. Two-sample comparative parametric tests.
7. Analysis of variance (ANOVA).
8. Selected non-parametric tests.
9. Measurement of independence of categorical variables.
10. Simple linear correlation and regression.
11. Multiple linear regression and correlation.
12. Nonlinear regression models.
13. Time series analysis.

E-learning

The subject is supported by an interactive course in LMS Moodle.
Ongoing tasks are submitted 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 .
SALKIND, N. J. and B. B. FREY. Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel. Fifth Edition. Thousand Oaks: SAGE, 2021. ISBN 978-1071803882 .
FROST, J. Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions. State College (PA): Statistics by Jim Publishing, 2020. ISBN 978-1735431154 .


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