## BKM_STA2 Statistics 2

Spring 2019
Extent and Intensity
0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Marie Budíková, Dr. (alternate examiner)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
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
Timetable
Fri 22. 2. 12:00–15:50 P101, Fri 15. 3. 16:00–19:50 P101, Fri 3. 5. 16:00–19:50 P101
Prerequisites
( BKM_STA1 Statistics I ) || ( BPM_STA1 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.
fields of study / plans the course is directly associated with
there are 9 fields of study the course is directly associated with, display
Course objectives
The goal of this course is to teach students the basic statistical techniques of real economic data analysis (with statsitical software)and to prepare them for additional statistical methods used in economy.
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
• Basic concepts of mathematical statistics.
• Experiment design.
• Diagnostics graphs and normality testing.
• One random normal and alternative sample exercises.
• Two independent random normal and alternative samples exercises.
• One-way ANOVA.
• Nonparametrics tests.
• Analysis of contingency tables.
• Correlation analysis. Regression analysis.
Literature
required literature
• BUDÍKOVÁ, Marie, Maria KRÁLOVÁ and Bohumil MAROŠ. Průvodce základními statistickými metodami (Guide to basic statistical methods). vydání první. Praha: Grada Publishing, a.s., 2010. 272 pp. edice Expert. ISBN 978-80-247-3243-5. URL info
recommended literature
• BUDÍKOVÁ, Marie. Statistika II. 1. vyd. Brno: Masarykova univerzita v Brně, 2006. 156 s. ISBN 8021041056. info
• HINDLS, Richard, Stanislava HRONOVÁ and Jan SEGER. Statistika pro ekonomy. 1. vyd. Praha: Professional publishing, 2002. 415 s. ISBN 80-86419-26-6. info
• HENDL, Jan. Přehled statistických metod zpracování dat :analýza a metaanalýza dat. Vyd. 1. Praha: Portál, 2004. 583 s. ISBN 8071788201. info
Teaching methods
Theoretical lectures; computer seminar sessions.
Assessment methods
Distance study. Lectures, self study. Written exam consisting of theoretical and practical parts, POT (final project corrected by tutor).
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023.
• Enrolment Statistics (Spring 2019, recent)