Course: Statistics I

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Course title Statistics I
Course code UMKM/KSTA1
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Čenčík Petr, Mgr.
  • Zapletal David, Mgr. Ph.D.
Course content
Introduction to statistics basic terms (frequency tables, pivot tables, graphs). Characteristics of quantitative variables (mean, variance, skewness, kurtosis). Statistics comparisons (Index analysis - simple and composite individual indices, the aggregate price and volume indices). Introduction to dependence investigation (coefficient of association, pivot coefficient and correlation coefficient). Introduction to regression analysis (linear regression model, index of determination, the regression line, parabolic regression etc.). Introduction to time series analysis (lemental characteristics of time series, classical decomposition of time series, modeling of trend and seasonal component). Probability theory (classical and statistical probabilty, conditional probability, independent events, probability theorem, Bayes' theorem, discrete and continuous random variables, characteristics of random variables, discrete distributions, continuous distributions). Central limit theorem, law of large numbers.

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 theoretical essentials for the follow-up mathematical and first of all for the specialized courses of the economic character.
Students will be able to apply statistical methods to solve practical problems in real situations.
Prerequisites
Successful completion of the course are in the range of knowledge of mathematics taught at universities.

Assessment methods and criteria
Home assignment evaluation, Student performance assessment, Systematic monitoring

Credit: successful passing of the tests (at least 60 %). Examination: written, consists of practical and theoretical tasks. Successful completion - at least 60 %.
Recommended literature
  • Brebera, David a kol. Sbírka příkladů ze statistiky. Pardubice, 2014.
  • Budíková, Marie. Teorie pravděpodobnosti a matematická statistika : sbírka příkladů. Brno: Masarykova univerzita, 1998. ISBN 80-210-1832-1.
  • Douglas C. Montgomery, George C. Runger. Applied statistics and probability for engineers, 4.vydání. John Wiley & Sons, Hoboken, 2007. ISBN ISBN 978-0-471-74.
  • HINDLS, R.,HRONOVÁ, S.,SEGER, J.:. Statistika pro ekonomy. Praha Professional Publishing, 2002. ISBN 80-86946-16-9.
  • Kubanová, Jana. Sbírka příkladů z pravděpodobnosti. Bratislava: Statis, 2004. ISBN 80-85659-36-0.
  • Linda, Bohdan. Pravděpodobnost. Pardubice: Univerzita Pardubice, 2010. ISBN 978-80-7395-303-4.
  • Linda,B.-Kubanová,J. Kritické hodnoty a kvantily vybraných rozdělení pravděpodobnosti. Univerzita Pardubice, 2006. ISBN 80-7194-852-7.
  • Marek, L. Jarošová E. Pecáková, I. Pourová, Z. Vrabec, M. Statistika pro ekonomy - Aplikace. 2. vyd. Professional Publishing, Praha, 2007. ISBN ISBN 80-86419-68-.
  • 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.
  • PACÁKOVÁ, V. A KOL. Štatistické metódy pre ekonómov.. Bratislava: IURA Edition, 2009.
  • Spiegel, M. R. Theory and Problems of Probability and Statisticsv. Singapore, McGraws-Hill Book 1985, 1985. ISBN 007990301.


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 Enterprise Management (2014) Economy 2 Winter
Faculty of Economics and Administration Public Economics and Administration (2015) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2015) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2014) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2016) Economy 2 Winter
Faculty of Economics and Administration Security Management in Enterprises (2016) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2013) Economy 2 Winter
Faculty of Economics and Administration Public Economics and Administration (2014) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2015) Economy 2 Winter
Faculty of Economics and Administration Security Management in Enterprises (2013) Economy 2 Winter
Faculty of Economics and Administration Public Economics and Administration (2015) Economy 2 Winter
Faculty of Economics and Administration Economics and Operation in Enterprises (2016) Economy 2 Winter
Faculty of Economics and Administration Economics and Operation in Enterprises (2013) Economy 2 Winter
Faculty of Economics and Administration Security Management in Enterprises (2015) Economy 2 Winter
Faculty of Economics and Administration Public Economics and Administration (2013) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2013) Economy 2 Winter
Faculty of Economics and Administration Security Management in Enterprises (2014) Economy 2 Winter
Faculty of Economics and Administration Economics and Operation in Enterprises (2014) Economy 2 Winter
Faculty of Economics and Administration Enterprise Management (2016) Economy 2 Winter
Faculty of Economics and Administration Public Economics and Administration (2014) Economy 2 Winter