LF:BVST041c Statistics -p. - Course Information
BVST041c Statistics - practice
Faculty of Medicinespring 2025
- Extent and Intensity
- 0/1/0. 1 credit(s). Type of Completion: z (credit).
In-person direct teaching - Teacher(s)
- RNDr. Lucie Burešová (seminar tutor)
prof. MUDr. Bc. Zuzana Derflerová Brázdová, DrSc. (seminar tutor)
Ing. Veronika Išová (assistant)
MVDr. Halina Matějová (assistant)
Ing. Kateřina Novohradská (assistant) - Guaranteed by
- prof. MUDr. Bc. Zuzana Derflerová Brázdová, DrSc.
Department of Public Health – Theoretical Departments – Faculty of Medicine
Supplier department: Department of Public Health – Theoretical Departments – Faculty of Medicine - Prerequisites (in Czech)
- BVVP0321c Nutrition in health promotion and public health I - exercises
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Nutritive therapist (programme LF, B-SZ)
- Dietitian (programme LF, B-NUT)
- Course objectives
- Aim of the subject is to provide students with knowledge necessary to collection, analyze and presentation of data and verifying hypothesis. The sense of it is to point out the advantages and partial limitations of statistics. This should make it easier to understand to subject-specific literature, using statistic information and evaluation of the results of statistical search.
- Learning outcomes
- The student will be able to
- use the acquired knowledge in the comparison of therapeutic and diagnostic procedures from which to choose the most appropriate method,
-in estimating the health needs of the population group,
-monitoring and explaining differences in the health status of different groups of people. - Syllabus
- Methods of random sampling.
- Rules for probabilities calculations, Bayes formula.
- Frequency and distributional function of normal and binomic distribution, work with tables.
- Schedule of survey sampling.
- Claculation and interpretation of avarage values.
- Calculation and interpretation of variability indicators.
- Choice criteria for suitable position and variability indicators.
- Assessment of normal distribution parametres.
- Probability assessment.
- Comparison of average and probable values (u-test, t-test).
- Pearsons correlation coefficient, regression line.
- Sequential correlation coefficient.
- Chi-squared test.
- Sign test, Wilcoxons test for comparison of two samples level.
- Risk calculation in prospective and retrospective studies.
- Teaching methods
- class exercises
- Assessment methods
- credit
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course is taught annually.
The course is taught: every week.
Information on the extent and intensity of the course: 15.
- Enrolment Statistics (spring 2025, recent)
- Permalink: https://is.muni.cz/course/med/spring2025/BVST041c