Course title | Statistics for doctoral students |
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Course code | DSPT/2SD |
Organizational form of instruction | no contact |
Level of course | Doctoral |
Year of study | 1 |
Semester | Winter |
Number of ECTS credits | 5 |
Language of instruction | Czech |
Status of course | Compulsory |
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 |
unspecified
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Learning activities and teaching methods |
unspecified |
Learning outcomes |
The course focuses on selected statistical analysis techniques such as: analysis of nominal data using adjusted residual analysis and Chi-square, use of t-test, ANOVA and non-parametric tests, correlation analysis and mastering linear and logistic regression. The student should be able to correctly prepare data for the chosen analysis (coding of dependent and independent variables), apply the presented statistical methods in IBM SPSS or STATISTICA and interpret the results of these analyses.
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Prerequisites |
unspecified
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Assessment methods and criteria |
unspecified
|
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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Faculty: Faculty of Physical Culture | Study plan (Version): - (2022) | Category: Physical education and sport | 1 | Recommended year of study:1, Recommended semester: Winter |
Faculty: Faculty of Physical Culture | Study plan (Version): - (2022) | Category: Physical education and sport | 1 | Recommended year of study:1, Recommended semester: Winter |