KVASTI Applied Statistics I

Faculty of Economics and Administration
Autumn 2008
Extent and Intensity
0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Mgr. Jiří Špalek, Ph.D. (lecturer)
Ing. Martin Křivánek (seminar tutor)
Guaranteed by
doc. JUDr. Ivan Malý, CSc.
Department of Public Economics – Faculty of Economics and Administration
Contact Person: Lenka Jílková
Timetable
Sat 4. 10. 8:30–11:50 P106, Sat 25. 10. 12:50–16:15 P106, Sat 22. 11. 8:30–11:50 P106
Prerequisites
Students have to pass basic university courses of mathematics (Mathematics I and Mathematics II) to attend this course.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The objective of the course is to introduce students to the study of statistical sets and their indices. Students will learn about the problems of description and the basic characteristics of sample statistical sets, principals of the theories of probability and random variables. The cardinal part of the course is a section dealing with the quantitative description of selected processes and dependences. The course focuses on an introduction to the study of regression and correlation analysis with emphasis placed on linear regression. To explore the chronologically observed indicators, the course also presents an introduction to the study of time series and comparative indices. All these sections are illustrated by examples using particular statistical indicators of the Czech Republic’s economic development.
Syllabus
  • The content of this course is divided into three basic parts. The first part deals with the descriptive statistics; the second one brings out the essentials of Probability theory and Random variable. These two parts are then used and interconnected in the third part of the course: Testing of statistical hypotheses and statistical inference.
  • 1. Descriptive statistics - statistical file, variable, sample file. Process of statistical research. Classification of statistical file, frequency - absolute and relative. Statistical graphs. Descriptive functions: average, variance, percentile.
  • 2. Probability theory and Random variable. Classical and statistical definitions of probability. Random variable, random function, distribution of random variable. Characteristics-mean value, variance. Standard distributions of random variable.
  • 3. Hypothesis testing and statistical inference Sample file, sample characteristic. Confidence interval, confidence level. Null hypothesis, 1st and 2nd order error, significance level. General framework of statistical test. Parametric and non-parametric test. Two-sample tests for mean and for variance.
Literature
  • ŠPALEK, Jiří. Aplikovaná statistika I (Applied Statistics I). 1. vydání. Brno: Masarykova univerzita, 2004, 126 pp. ISBN 80-210-3412-2. info
  • SEGER, Jan, Richard HINDLS and Stanislava HRONOVÁ. Statistika v hospodářství. Vyd. 1. Praha: ETC Publishing, 1998, 636 s. ISBN 80-86006-56-5. info
  • WONNACOTT, Thomas H. Statistika pro obchod a hospodářství. Praha: Victoria Publishing., 891 s. ISBN 80-85605-09-0. info
  • SEGER, Jan and Richard HINDLS. Statistické metody v tržním hospodářství. 1. vyd. Praha: Victoria Publishing, 1995, 435 s. ISBN 80-7187-058-7. info
  • BROŽ, Milan. Microsoft Excel 97 cz pro manažery a ekonomy. Vyd. 1. Praha: Computer Press, 1998, xx, 346 s. ISBN 80-7226-074-X. info
  • BROŽ, Milan. Microsoft Excel 2000 pro manažery a ekonomy. Vyd. 1. Praha: Computer Press, 2000, xvii, 395. ISBN 8072263528. info
Assessment methods
The course has a form of a lecture. The lecture (total of 12 hours) is divided into three parts (4 hours each). The main emphasis is laid on self-study. The course is concluded by a written exam. Students are eligible to attend the exam provided that they hand in two seminar papers in a given extent and structure within the obligatory date. Detailed information concerning the seminar work is available in interactive syllabi of the course in the IS MU.
Important information! If a student commits a prohibited act, such as using various forbidden tools, cribbing, taking out any part of the exam or any other cheating, the teacher is allowed to interrupt an exam and to grade a student with F, FF or FFF according to the seriousness of the offence. The mentioned procedure relates to all the activities that are included in the final evaluation of the course (i.e., seminar work, essays, tests etc.).
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is also listed under the following terms Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007.
  • Enrolment Statistics (recent)
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