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Lecturer(s)
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Chytrý Vlastimil, doc. PhDr. Ph.D.
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Course content
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Week 1: Introduction to the course content Week 2: basics of combinatorics (variations) Week 3: Fundamentals of Combinatorics (permutations) Week 4: Fundamentals of combinatorics (combinations) Week 5: Fundamentals of Probability Week 6: Fundamentals of descriptive statistics Week 7: Presentation of data Week 8: Statistical extent and characteristics Week 9: Work one-dimensional statistical area Week 10: Work one-dimensional statistical area - data presentation Week 11: tests of normality (KS test, histograms) Week 12: The two-dimensional statistical area - the independent variable Week 13: The two-dimensional statistical area - dependent variable Week 14: Final evaluation of teaching
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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Learning to present statistical data in tabular, graphical and using quantitative indicators. Master the basics of probability theory and be able to use basic distributionns. Ability to analyze samples with emphasis on applications in education. Learn how to use Excel. Understand the principles of statistics used in elementary school and in dissertations corresponding to their studies.
Students can: - To present statistical data in tabular, graphical and using quantitative indicators - Describe the basics of probability theory and are able to use distributionns - Analyze samples with emphasis on applications in education - Explain the difference between quantitative and qualitative research - Explain the principles of statistics used in elementary school and in dissertations corresponding to their studies.
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Prerequisites
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Ability to work with Excel . It is assumed that the student already knows how to use a calculator function.
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Assessment methods and criteria
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unspecified
Be able to present statistical data in tabular, graphical and using quantitative indicators. Having a notebook for each of the lessons. The student is expected to continue: 1. 100% attendance at seminars. 2. Successful fulfillment of a credit test. 3. Activity on seminars.
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Recommended literature
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E-learningová opora. dostupné z: https://moodle.pf.ujep.cz/course/category.php?id=6.
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Friesl B. Pravděpodobnost a statistika hypertextově.
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Hrach K. Interaktivní sbírka úloh ze statistiky.
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Melichar J., Svoboda J. Statistika, Skriptum PF UJEP. Ústí nad Labem, 2002.
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