PřF:Bi9001 Statistical data analysis - Course Information

Bi9001 Statistical analysis of biological data

Extent and Intensity

2/0/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

RNDr. Milan Baláž, Ph.D. (lecturer)

Guaranteed by

RNDr. Milan Baláž, Ph.D.
Department of Experimental Biology – Biology Section – Faculty of Science
Contact Person: Naděžda Bílá
Supplier department: Department of Experimental Biology – Biology Section – Faculty of Science

Timetable

Thu 8:00–9:50 B09/316

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

there are 29 fields of study the course is directly associated with, display

Course objectives

The aim of the course is to familiarize the students with the logic of biological experiments - how the setup and design of these experiments must correspond with their aims, with the usage of appropriate statistical treatment of the data and with interpretation of results.

Learning outcomes

At the end of the course the students are able to:
- set up experimental design suitable for specified purpose;
- select appropriate statistical treatment for the data and experimental design;
- calculate statistical test using the software Statistica;
- generalize and present the results of statistical tests using an adequate form.

Syllabus

• Data collecting. Organization of data within spreadsheets. PC-based statistical packages. Data import from spreadsheets. Variable types, statistical distributions, quantiles, null hypothesis, I. and II. error type. Experimental design, selecting of appropriate statistical method. X² test. F-test, t-test. One-way analysis of variance, homogeneity of variances, independence of residuals, data transformations, contrasts, a priori and post-hoc tests. Multiple analysis of variance: factorial, nested, and block designs, repeated measures ANOVA; interaction, fixed effect and random effect models, mixed model. Covariance analysis. Correlation analysis, Pearson, Spearman and partial correlation coefficient. Regression analysis, linear and non-linear regression, multiple regression.

Literature

• LEPŠ, Jan. Biostatistika. Vyd. 1. České Budějovice: Jihočeská universita, 1996, 165 s. ISBN 8070401540. info
• FRY, J. Biological data analysis - a practical approach. Oxford: Oxford University Press, 1994. info
• SOKAL, Robert R. and James F. ROHLF. Biometry :the principles and practice of statistics in biological research. 3rd ed. New York: W.H. Freeman and Company, 1995, xix, 887 s. ISBN 0-7167-2411-1. info

Teaching methods

Lectures - theoretical preparation.

Assessment methods

The exam is based on the practical statistical treatment of three sets of experimental data, covering the methods presented at the course. Selection and justification of an method used is an integral part of the exam. For all calculations the package Statistica is used.

Language of instruction

Czech

Further comments (probably available only in Czech)

Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
General note: Předmět není určen studetům matematiky nebo matematické biologie - těmto bude jejich registrace/zápis anulován.

Listed among pre-requisites of other courses

• Bi9001c Statistical analysis of biological data - practice
  NOW(Bi9001)  

• Enrolment Statistics (Autumn 2023, recent)
  
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