| Course title | Statistics on the PC |
|---|---|
| Course code | KMA/P517 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | unspecified |
| Form of instruction | unspecified |
| Work placements | unspecified |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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Analysis of Variance 8. One-Way Analysis of Variance 9. Bartlett's Test for Equal Variance 10. Multiple Comparison Test, Least Significant Diference Method, Bonferroni t-test 11. Tukey's Metod 12. Sheffe's Metod 13. Fixed and Random Factors 14. Kruskal-Wallis One-Way Analsis by Ranks Test for Distributional Dunction 8. Chi-Square Goodness-of-Fit Test 9. Kolmogorov-Smirnov Goodness-of-Fit Test 10. Shapiro-Wilk and the Lilliefor's tests Time Series Analysis 11. General Introduction. Point Time Series. Interval Time Series 12. Trend Analysis 13. Analysis of Seasonality
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
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The program includes fundamental pieces of knowledge needed for data statistical analysis, students will learn how to derive benefit from statistical software (Excel, Statistica). The focus consists in practical work with sizable data files and in finding statistically significant effects, the emphasis is set on graphic working of information as well.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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