SubjectsSubjects(version: 964)
Course, academic year 2024/2025
   Login via CAS
Applied Statistics - GAF303
Title: Applied Statistics
Guaranteed by: Department of Biophysics and Physical Chemistry (16-16110)
Faculty: Faculty of Pharmacy in Hradec Králové
Actual: from 2024
Semester: summer
Points: 0
E-Credits: 1
Examination process: summer s.:
Hours per week, examination: summer s.:12/8, C [HS]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: not taught
Language: English
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.
Comes under: 4.ročník 2023/24 Pharmacy (ENG)
Pre-requisite : GAF105
Examination dates   Schedule   
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 -

Conditions for granting the credit – Applied statistics

 


1. Active participation during all seminars – in the case of absence, a written
excuse by the physician must be handed over.
2. The student must pass the final test in which all tasks must be fulfilled in a
satisfactory way. Every student has at most 3 tries.

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

Recommended:

  • 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.
  • KLEMERA, Petr. Applied statistics. Hradec Králové: Hradec Králové : Charles University in Prague, Faculty of Pharmacy in Hradec Králové, 2012, s. ISBN .
  • Li Wan Po, Alain. Statistics for pharmacists. London: Blackwell Sci., 1997, 252 s. ISBN 0-632-04881-6.

Last update: prepocet_literatura.php (19.09.2024)
Teaching methods -
The guarantor lectures, teachers conduct seminars. Consultation may be based on a personal, telephone or email order.
Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
Requirements to the exam -

There is no exam for this course.

Last update: Duintjer Tebbens Erik Jurjen, doc. Dipl.-Math., Ph.D. (11.10.2021)
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)
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html