Course: Quantitative Methods

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Course title Quantitative Methods
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)
  • Frličková Barbora, Mgr.
  • Harmáček Jaromír, doc. Ing. Mgr. Ph.D.
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.

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.

Assessment methods and criteria
unspecified
seminar paper, written test
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester