Lecturer(s)
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Rost Michael, doc. Ing. Ph.D.
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Zemek František, doc. Mgr. Ing. Ph.D.
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Bystřický Václav, Ing. Ph.D.
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Course content
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Lectures: 1) Introduction to the course, requirements, basic terminology; 2) Probability; 3) Random variable; 4) Probability distribution 5) Descriptive statistics; 6) Estimates and Confidence Intervals; 7) Introduction to hypothesis testing; 8) Single-line t-test; 9) Two-choice t-test and pair t-test; 10) One-way ANOVA; 11) Multiple comparison; 12) Nonparametric methods; 13) Regression and correlation analysis; Practices 1) Conditions for passing the subject, installation of Statistica software, basics of sotware Statistica 2) Descriptive statistics - nominal and ordinal variables 3) Descriptive statistics - quantitative variables 4) Writing test 1 5) Combinatorics 6) Probability 7) Writing test 2 8) Estimation of parameters confidence interval 9) Hypothesis testing what is the hypothesis, testing principles, one-sample t-test 10) Hypothesis testing student´s t-test, F-test, two-sample t-test 11) Correlation and regression 12) Hypothesis testing and regression revision 13) Writing test 3 14) One-way ANOVA
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
- Preparation for credit
- 60 hours per semester
- Preparation for exam
- 60 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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The course introduces the basic procedures for data processing. Introduces students to the probability calculus, deals with system descriptors and basic principles of inductive reasoning.
Students understand basic principles of statistical methods and probability. They are able to perform hypothesis testing and regression analysis.
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Prerequisites
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knowledge of secondary school mathematics
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Assessment methods and criteria
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Combined exam, Test
Credit requirements: Active participation in exercises. Exam requirements: To successfully complete the written part of the exam, it is necessary to obtain min. 60% points. It applies to both the computer and theory test. Successful completion of the computer test is a condition for taking the theory test.
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Recommended literature
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Anděl, J. Základy matematické statistiky. Praha : MFF UK, 2005.
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ČERMÁKOVÁ, A. Statistika II. JU v Českých Budějovicích, 2005.
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DRAPER, N., SMITH, H. Applied Regression analysis, Wiley and Sons. New York, 1981.
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HENDL, JAN. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha, Portál, 2004.
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ZVÁRA, K. Biostatistika. Praha : Karolinum, 1998. ISBN 80-7184-773-9.
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