Course title | Quantitative Methods |
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Course code | MRS/KVANT |
Organizational form of instruction | Lecture + Exercise |
Level of course | Bachelor |
Year of study | not specified |
Semester | Summer |
Number of ECTS credits | 4 |
Language of instruction | Czech |
Status of course | unspecified |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
Course content: 1. Refresher 1: Stata. Descriptive statistics. 2. Refresher 2: Statistical inference (estimation, hypothesis testing). 3. Simple regressions and correlations. 4. Multiple regression analysis. 5. Models of multiple regression analysis.
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Learning activities and teaching methods |
unspecified |
Learning outcomes |
Repeat and deepen the basic knowledge in the area of statistical inference (the first part of the course) as a prerequisite for their use in linear regression analyses (the main part of the course).
Students are able to interpret basic quantitative outputs (with a focus on regression analyses) in research articles or apply basic analyses themselves. |
Prerequisites |
Recommended courses: MRS/ZVM.
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Assessment methods and criteria |
unspecified
seminar paper, written test |
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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