Biostatistics
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Faculty of Veterinary Medicine - 1st year
Faculty of Veterinary Hygiene and Ecology - 1st year
Winter Semester
Syllabus - Lectures
1. Types of biostatistical data, population and sample in statistics. Frequency distribution, probability distribution, quantiles. Descriptive statistics – measures of central tendency (arithmetic mean, median, mode) and measures of dispersion and variability (range, variance, standard deviation, coefficient of variability).
2. Probability distributions for continuous data (populations): Gaussian normal, Standardized normal, Non-normal distribution. Probability distributions for continuous data (sample data): Student's t, Pearson's Chi-Square, Fisher's F. Testing for statistical hypotheses - null and alternative hypothesis, test statistics, critical values, type I. and II. errors.
3. Parametric tests. Hypotheses concerning mean and variance parameters: F-test. Student's t-test: 1 sample t-test, 2 samples t-test: paired and non-paired experiment (samples with equal and unequal variances).
4. Estimation of population parameters, confidence intervals for the mean value, standard deviation and for the median. Non-parametric tests: Mann-Whitney U-test, Wilcoxon Signed-Rank test.
5. Relations between two variables - functional and statistical relationship. Regression analysis – simple linear regression, estimation of line coefficients. Correlation analysis - estimation of correlation coefficient. Testing for the significance of correlation coefficient. Non-linear regression - Spearman's coefficient of rank correlation.
6. Calculus of probabilities in statistics, binomial probability distribution. Categorical data, testing for difference between empirical and theoretical frequency, testing for difference between 2 empirical frequencies. Categorical data relationship. Chi-Square analysis of the 2x2 and r x c contingency table.
Pdf version
1. Introduction to Biostatistics.
2. Descriptive statistics – basic calculations in MS Excel: arithmetic mean, median, variance, standard deviation, coefficient of variability, SEM (examples).
3. Statistical testing: Tests for variance hypotheses (F-test). Examples.
4. Revision practice: Descriptive characteristics. Tests for variance hypotheses. Examples.
5. Parametric tests (Student´s t-test, F-test) - formulae in MS Excel. Examples.
6. MS Excel - Data files processing: F-test, Student's t-test. Graphical presentation of data.
7. Parametric tests i MS Excel (functions for F-test, Student´s t-test) - practical examples.
8. MS Excel – Statistical data files processing: basic statistic parameters, F-test, Student's t-test. Individual practice (Model examples I).
9. MS Excel – Statistical data files processing: correlation and regression analysis. Model examples.
10. Model situations in veterinary medicine: F-test, t-test - individual practice (Model examples II – MS Excel).
11. Final revision practice: Evaluation of experimental data (Example - MS Excel).
12. Individual credit task.
13. Credit.
Pdf version