ESF:BPM_ST2A Statistics 2 - Course Information
BPM_ST2A Statistics 2Faculty of Economics and Administration
- Extent and Intensity
- 2/2. 8 credit(s). Type of Completion: zk (examination).
- doc. Mgr. Maria Králová, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Marie Budíková, Dr.
Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science - Faculty of Economics and Administration
- Tue 9:20–11:00 VT105
- Timetable of Seminar Groups:
- The basic terms in calculus of probability.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Multidisciplinary studies (programme ESF, KOS)
- Course objectives
- At the end of the course students should be able to: - understand and explain the basics of statistical inference; - use the basic testing procedures; - to operate the statistical software;
- -Normal as well as derived exact distributions (Pearson distribution, Student distribution, F distribution) and their properties; quantile tables. -Law of large numbers, central limit theorem. -Basic concepts of mathematical statistics; inductive statistics, random sampling, sample statistic. - Point estimation and interval estimation of population parameters and parametric functions. -Introduction to hypotheses testing. -The statistical inferences based on a single sample from normal distribution. -The statistical inferences based on two independent samples from the normal distribution. -The statistical inferences based on one sample or two independent samples from Bernoulli (zero-one) distribution. -One-way analysis of variance. -Simple linear regression. -Introduction to correlation analysis. -The relationship between two variables on the nominal or ordinal scale - Nonparametric tests on medians
- ROUSSAS, George G. A course in mathematical statistics. 2nd ed. San Diego, Calif.: Academic Press, 1997. xx, 572. ISBN 0125993153. info
- LIND, Douglas A., Robert Deward MASON and William G. MARCHAL. Basic statistics for business and economics. 3rd ed. Boston: Irwin, 2000. xii, 564. ISBN 0073660620. info
- LEFEBVRE, Mario. Applied probability and statistics. 1st ed. New York: Springer, 2006. xvii, 356. ISBN 0387284540. info
- WONNACOTT, Ronald J. and Thomas H. WONNACOTT. Introductory statistics for business and economics. 4th ed. New York: John Wiley & Sons, 1990. xvi, 815. ISBN 047161517X. info
- WASSERMAN, Larry. All of statistics : a concise course in statistical inference. New York: Springer, 2004. xix, 442. ISBN 9780387402727. info
- Teaching methods
- theoretical lectures; computer seminar sessions;
- Assessment methods
- The final grade is given by the score of the final test. The requirements for taking the test are: to set computer-aided solution of the semester paper and to be active at seminar sessions which are compulsory.
- Language of instruction
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
Information on the per-term frequency of the course: jarní semestr.
General note: Nezapisují si studenti, kteří absolvovali předměty PMSTIIA nebo PMSTII.
Information on course enrolment limitations: Kurz se vypisuje zejména pro zahraniční studenty