| Course title | Theory of Probability and Statistics 2 |
|---|---|
| Course code | KMI/YTPS2 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 3 |
| Language of instruction | English |
| Status of course | unspecified |
| 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 |
| Lecturer(s) |
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| Course content |
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Contents of lectures: 1. Descriptive statistics. 2. Student, Chi2, F - distribution. Quantiles. 3. Hypothesis testing. One sample t-test. 4. T-tests, paired and twosample. F-test. Test about variance. 5. Test about mean value with CLT. 6. Theory of estimates. Confidence intervals. 7. Confidence interval with CLT. The size of samples with given length of interval. 8. Correlation coefficient. 9. Descriptive statistics. Histograms, box plot. 10. ANOVA 1 factor. 11. ANOVA 2 factors 12. Simple regression analysis. 13. Multivariate regression analysis.
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| Learning activities and teaching methods |
Monologic (reading, lecture, briefing)
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| Learning outcomes |
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A basic introductory course devoted to basic principles of statistical reasoning and applications of data analysis.
Student manages the basic principles and methods of probability and statistics. |
| Prerequisites |
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Prerequisities: Teorie pravděpodobnosti a statistika/Theory of Probability and Statistics 1
KMI/OTPS1 ----- or ----- KMI/YTPS1 |
| Assessment methods and criteria |
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Combined exam
The writing exam has to be passed with at least 50% followed by oral exam, also active attendance of the course is required. |
| 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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