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Education Courses Data analysis practicals

Data analysis practicals

Language
English
Nature
optional C
Method of evaluation
practical grade
Year in the curriculum
2
Allow for
  • Vet EN

Course description

Prerequisites:

Informatics, Biomathematics

Suggested literature:

Wassertheil-Smoller S. Biostatistics and Epidemiology, A Primer for Health and Biomedical Professionals, Springer, 1990, 1995, 2004.

Petrie A, Watson P. Statistics for Veterinary and Animal Science. 3rd edition. Wiley-Blackwell, 2013.

Date

E-learning format with weekly deadlines. Optional online consultation on Thursdays from 17:15 to 18:00 or at a mutually agreed time.

Teacher

Mrs. Harnos Andrea            [Click to see email]

Mr. Piross, I. Sándor            [Click to see email]

Consulting hours: online, Monday 12:00-14:00 (Microsoft Teams)

Lectures theme

Week Topic
1. Data recording and data verification with Excel
2. Creating descriptive statistics and graphs with Excel
3. Exploratory analyses with RCommander
4. Estimates
5. Analysis of means and variances
6. ANOVA models
7. Multiple comparisons
8. Nonparametric methods
9. Analysis of qualitative data
10. Basics of experimental design
11. Basics of sample size estimation
12. Analysis of continuous variables
13. ANCOVA models
14. Diagnostic tests
15. Communication of statistical findings

Evaluation description

Exam

Electronic exam with theoretical questions and practical exercises

Requirements of signature and obtaining a grade

Solving the issued exercises by the given deadlines.

Grading

<50% 1
≥50% 2
≥60% 3
≥75% 4
≥85% 5