Course: Probability and Statistics II

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Course title Probability and Statistics II
Course code UMKM/APAS2
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
  • 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.
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

Assignment-completion of all given tasks and passing all written tests. Examination-writen and oral.
Recommended literature
  • Gibilisco, Stan. Statistics demystified : [a self-teaching guide]. New York: McGraw-Hill, 2004. ISBN 0-07-143118-7.
  • Kubanová,J. Statistics II. Pardubice, 2008. ISBN 978-80-7395-065-1.
  • Kubanová,J. Statistics I. Pardubice, 2008. ISBN 978-80-7395-064-4.
  • Kvanli,A.H., Pavur,R.J., Guynes,C.S. Introduction to Business Statistics - A Computer Integrated,Data Analysis Approach. New York, South-Western College Publishing, 2000, 2000. ISBN 0-324-01207-1.
  • 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, McGraw-Hill 2002, 2002.
  • Newbold, P. Statistics for Business and Economics. London, Prentice-Hall Int. Lim. 1991, 1991. ISBN 0138506450.
  • Selvin,S. Biostatistics: How it works.
  • Spiegel, M. R. Theory and Problems of Probability and Statistics. Singapore, McGraws-Hill Book 1985, 1985. ISBN 007990301.
  • Walpole, R.A. Introduction to Statistics. New York, Macmillan Publishers, 1989, 1989. ISBN 0-02-424150-4.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Economics and Administration Regional and Information Management (2013) Economy 2 Summer