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Course, academic year 2024/2025
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Applied Statistics - GB287
Title: Aplikovaná statistika
Guaranteed by: Department of Biophysics and Physical Chemistry (16-16110)
Faculty: Faculty of Pharmacy in Hradec Králové
Actual: from 2019
Semester: summer
Points: 0
E-Credits: 2
Examination process: summer s.:
Hours per week, examination: summer s.:14/14, C [HS]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: Czech
Teaching methods: full-time
Level:  
Note: deregister from the credit exam date if a requisite was not fulfilled
course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: doc. Dipl.-Math. Erik Jurjen Duintjer Tebbens, Ph.D.
Pre-requisite : GB003
Annotation -
Applied Statistics addresses basic statistical methods used in pharmacy. It presents an overview of the most common statistical tests and methods, with the emphasis being on the correct choice of a statistical test and the interpretation of its result. The students are acquainted with the basical statistical functions in commonly available software (mainly in Excel, a brief introduction to GraphPad is planned as well) through practical examples from pharmacy and related fields.
Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
Course completion requirements - Czech

Podmínkou udělení zápočtu je splnění následujících podmínek:

  1. Aktivní účast na všech cvičeních – v případě absence je nutné donést omluvenku od lékaře.
  2. Úspěšné absolvování zápočtového testu. Pro úspěšné absolvování testu je třeba uspokojivě splnit všechny zadané pokyny. Každý student má právo na 3 pokusy.
Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
Literature - Czech

Doporučená:

  • Klemera, Petr, Klemerová, Věra. Základy aplikované statistiky pro studující farmacie. Praha: Karolinum, 1999, 84 s. ISBN 80-7184-888-3.
  • Box, George E. P. Hunter, J. Stuart Hunter, William Gordon. Statistics for experimenters : design, innovation, and discovery. Hoboken, N.J.: Wiley-Interscience, 2005, 633 s. ISBN 0-471-71813-0.
  • Li Wan Po, Alain. Statistics for pharmacists. London: Blackwell Sci., 1997, 252 s. ISBN 0-632-04881-6.
  • Zvára, Karel. Biostatistika. Praha: Karolinum, 2003, 213 s. ISBN 80-246-0739-5.
  • Zvárová, Jana. Základy statistiky pro biomedicínské obory. Praha: Karolinum, 1998, 218 s. ISBN 978-80-7184-786-1.

Last update: prepocet_literatura.php (19.09.2024)
Teaching methods - Czech

Garant přednáší, učitele vedou semináře. Konzultace možná na základě osobního, telefonického nebo emailového objednání. 

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
Requirements to the exam - Czech

Předmět není ukončen zkouškou.

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
Syllabus -

Syllabus

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.

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
 
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