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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
Conditions for granting the credit – Applied statistics
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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
Introduction, basic concepts from probability theory Origin and importance of statistics, descriptive and mathematical statistics, usage in pharmacy. Probability – selected topics that are important for statistics and its understanding. Main parameters of for statistical data sets. Basic distributions The normal distribution and the central limit effect. T-distribution, sampling and statistical independence, correlatoin. Chi-square and F-distribution. Introduction to hypothesis testing Reference distribution, one- and twosided tests, randomization and permutation tests. Z-tests a various types of t-tests, F-test for equal variances, chi-square test of independence (Pearson‘s chi-square test). Interval estimates of parameters The basic idea of the most common interval estimates. Relation with hypothesis testing. ANOVA Analysis of variance for one and more factors. Decomposition of variability using several types of sums of squares (ANOVA tabels). Regression models Their purpose and ways to use them. Linear regression and logistic regression. Nonparametric methods Principles and ways to use them. Selected methods (interval estimates and hypothesis testing), their application and interpretation of the results. Rank-sum test (Mann-Whitney U-test), Wilcoxon test, Kruskal-Wallis test. Summary – planning a statistical experiment Selection of the method, verification of assumptions, outlier detection, presentation of results. |
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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
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Last update: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D. (11.10.2021)
There is no exam for this course. |