## BPM_ST2A Statistics 2

Spring 2011
Extent and Intensity
2/2. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
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
Timetable
Mon 12:50–14:30 VT206
• Timetable of Seminar Groups:
BPM_ST2A/01: Tue 14:35–16:15 S310, M. Králová
Prerequisites
(! PMSTIIA Statistics II )&&(! PMSTII Statistics II )
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
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;
Syllabus
• -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
Literature
• 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
English
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 pouze pro zahraniční studenty
The course is also listed under the following terms Spring 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022.
• Enrolment Statistics (Spring 2011, recent)