Lecturer(s)


Kubanová Jana, doc. PaedDr. CSc.

Linda Bohdan, doc. RNDr. CSc.

Course content

Parameters estimation, point estimates, method of moments, method of maximal likelihood. Confidence intervals for expected value and for variance. Hypothesis testing, significance testing for expected values and for variance. Good fitness test, Chi square test. Nonparametric tests, sign test, Wilcoxon's test, outlier test, independence test and other. Regression analysis, linear regression, least squares method. Linear regression model for the function y = a+bf(x). Correlation analysis, Pearson´s and Spearman's correlation coefficient . Significance testing for correlation coefficient. Descriptive statistics. Time series, its analysis  basic approaches, decomposition of time series. Time series smoothing, running averages, interlacing of functions. Indices  basic and chained, simple and compound individual indices, total indices.

Learning activities and teaching methods

Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book)

Learning outcomes

The aim of the course is to acquaint the students with statistical principles in order to apply it in the majority of economic and administrative courses as well as in real situations.
Student will be able to apply statistical methods at solution of the practical problems and in real situations.

Prerequisites

Prerequisite for successful mastering of this subject is knowledge of mathematics and probability theory within the range taught at universities.

Assessment methods and criteria

Oral examination, Written examination, Student performance assessment
Assignmentcompletion of all given tasks and passing all written tests. Examinationwriten and oral.

Recommended literature


Gibilisco, Stan. Statistics demystified : [a selfteaching guide]. New York: McGrawHill, 2004. ISBN 0071431187.

Kubanová,J. Statistics II. Pardubice, 2008. ISBN 9788073950651.

Kubanová,J. Statistics I. Pardubice, 2008. ISBN 9788073950644.

Kvanli,A.H., Pavur,R.J., Guynes,C.S. Introduction to Business Statistics  A Computer Integrated,Data Analysis Approach. New York, SouthWestern College Publishing, 2000, 2000. ISBN 0324012071.

McClave,J., Benson, P., Sincich, T. Statistics for Bussiness and Economics. New York: Prentice Hall, 2001, 2001.

Mendehall, W.  Sincich, T. Statistics for Engineering and Sciences. New York, Macmillan Publishing Company 1992, 1992. ISBN 002946563X.

Milton, J. S., Arnold, J. Introduction to probability and statistics. New York, McGrawHill 2002, 2002.

Newbold, P. Statistics for Business and Economics. London, PrenticeHall Int. Lim. 1991, 1991. ISBN 0138506450.

Selvin,S. Biostatistics: How it works.

Spiegel, M. R. Theory and Problems of Probability and Statistics. Singapore, McGrawsHill Book 1985, 1985. ISBN 007990301.

Walpole, R.A. Introduction to Statistics. New York, Macmillan Publishers, 1989, 1989. ISBN 0024241504.
