XAS2 Statistics 2

Moravian Business College Olomouc
winter 2021
Extent and Intensity
2/2/0. 5 credit(s). Recommended Type of Completion: z (credit). Other types of completion: zk (examination).
Teacher(s)
doc. RNDr. Martina Pavlačková, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Martina Pavlačková, Ph.D.
Moravian Business College Olomouc
Supplier department: Moravian Business College Olomouc
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
Course objectives
The aim of the course is to deepen the students' knowledge of the concepts, methods and techniques of descriptive and mathematical statistics, and to get them familiarized with the use of mathematical software for statistical data processing. It will also focus on forming the stochastic way of thinking to create mathematical models applied to economic disciplines.
Syllabus
  • 1. The meaning and concept of modern statistics
    2. Processing data from sample surveys
    3. Point and interval estimation
    4. Testing statistical hypotheses
    5. Parametric tests
    6. Non-parametric tests
    7. Regression and correlation analysis
    8. Confidence intervals and tests of hypotheses in regression and correlation
    9. Statistical comparisons of economic phenomena
    10. Indexes and absolute differences as a tool for benchmarking and analyses
    11. Presentation of statistical results (verbal description, graphic form)
    12. Summary, examples
    In the course, the information-receptive methods, methods of problem of interpretation and heuristic methods are mostly used. The seminars are also methodically based on computer-aided teaching and learning methods (math software, online testing students).
Literature
    required literature
  • MAYEROVÁ, Š., F. MATURO and J. KACPRZYK. Mathematical-statistical models and qualitative theories for economic and social sciences. 1st ed. Cham: Springer, 2017. ISBN 978-3-319-54818-0. info
  • HLAVSA, T. Statistics I. Praha: Česká zemědělská univerzita v Praze, 2016. ISBN 978-80-213-2659-0. info
  • FREEMAN, J, D. ANDERSON, D. SWEENEY et al. Statistics for Business and Economics. 3rd ed. Cengage Learning, 2014. ISBN 9781285846323. info
  • JAMES, G., D. WITTEN, T. HASTIE and R. TIBSHIRANI. An Introduction to Statistical Learning: with Applications in R. 1st ed. New York: Springer, 2013. ISBN 978-1-4614-7137-0. info
  • HASTIE, T., R. TIBSHIRANI and J. H. FRIEDMAN. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer, 2009. ISBN 9780387848570. info
    recommended literature
  • FIELD, A. Discovering statistics using IBM SPSS statistics. 5th ed. Thousand Oaks: SAGE Publications, 2017. ISBN 9781526419521. info
  • LINDLEY, D. V. and W. F. SCOTT. New Cambridge statistical tables. 2nd ed. New York: Cambridge University Press, 1995. ISBN 9780521484855. info
Assessment methods (in Czech)
Zápočet: schopnost samostatného řešení typových příkladů
Zkouška: teoretická znalost odpřednášené látky a schopnost aplikace znalostí v příkladech.
Language of instruction
English
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms winter 2020, summer 2023.
  • Enrolment Statistics (winter 2021, recent)
  • Permalink: https://is.mvso.cz/course/mvso/winter2021/XAS2