BPM_ST2A Statistics 2

Faculty of Economics and Administration
Spring 2025
Extent and Intensity
2/2/0. 8 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
doc. Mgr. Maria Králová, Ph.D. (lecturer)
Mgr. Petra Ráboňová, Ph.D. (seminar tutor)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Prerequisites
BPM_ST1A Statistics 1
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.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 0/25, only registered: 37/25, only registered with preference (fields directly associated with the programme): 34/25
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;
Learning outcomes
After graduation of the course student should be able to:
- distinguish between sample and population and properly interpret principles of inferential statistics
- determine statistical methods appropriate for particular application context
- solve tasks based on real data by means of sw. STATSTICA
- interpret properly outputs of analyses
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
  • WEISS, N. A. Introductory statistics. Edited by Carol A. Weiss. 10th edition, global edition. Boston: Pearson, 2017, 763, 73. ISBN 9781292099729. info
  • RAMACHANDRAN, K. M. and Chris P. TSOKOS. Mathematical statistics with applications in R. Second edition. Amsterdam: Elsevier/AP, 2015, xxiii, 789. ISBN 9780124171138. 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 is to be active at seminar sessions which are compulsory.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
Information on the per-term frequency of the course: jarní semestr.
The course is taught: every week.
General note: Nezapisují si studenti, kteří absolvovali předměty PMSTIIA nebo PMSTII.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (recent)
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