PřF:Bi5040 Biostatistics - basic course - Course Information
Bi5040 Biostatistics - basic course
Faculty of ScienceAutumn 2002
- Extent and Intensity
- 3/0/0. 3 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jan Mužík, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D. - Prerequisites
- None - basic course.
- 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 6 fields of study the course is directly associated with, display
- Course objectives
- Introduction to statistics, testing of hypotheses.
Tables of distribution functions.
Introduction to sampling design.
Distribution of continuous and bivariate variables.
Application of binomial and Poisson distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Measures of similarity in ecology.
Analysis of variance (ANOVA).
Simple linear regression. Linear regression.
Experimental design. Non - parametric ANOVA. - Syllabus
- Introduction to statistics, testing of hypotheses.
- Tables of distribution functions. Sampling from biological populations, data processing.
- Introduction to sampling design. Continuous, ordinal and nominal data in biology.
- Distribution of continuous and bivariate variables - testing of hypotheses, graphical methods.
- Application of binomial and Poisson distribution in biology.
- One sample testing: sample mean, median, standard deviation, variance, binomial p and Poisson constant.
- Two sample testing. Experimental design - randomized and blocked. Parametric and non - parametric methods.
- Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
- Measures of similarity in ecology (covariance, correlation coefficients, similarity coefficients).
- Analysis of variance (ANOVA): one-way and two-way model.
- Simple linear regression. Linear regression. Introduction to multivariate linear regression.
- Experimental design: one-way and two-way models; factorial design, randomized blocks. Laboratory and field trials. Nested design of ANOVA in genetics and ecology. Non - parametric ANOVA.
- Literature
- Zar, J.H. (1994) Biostatistical methods. Prentice Hall, London. 2nd ed.
- G. W. Snedecor, W. G. Cochran (1971). Statistical methods. Iowa State University Press.
- HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
- J. Benedík, L. Dušek (1993) Sbírka příkladů z biostatistiky. Nakladatelství KONVOJ, Brno.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
- Bi5180 Quantitative genetics
Bi3060 && Bi5040 || E5540 - Bi7920 Analysis of biological data
Bi5040||Bi5560 - Bi7921 Advanced methods of analysis of biological data
(Bi5040||Bi5560) && Bi7920 - E7490 Advanced non-parametric methods
Bi5040 || Bi5045 - E7528 Analysis of genomic and proteomic data
(Bi5040 || Bi5045 || Bi5046 || E5046) && E8600 && E7527 && Bi4010 && E0034
- Bi5180 Quantitative genetics
- Teacher's information
- http://www.cba.muni.cz/vyuka/
- Enrolment Statistics (Autumn 2002, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2002/Bi5040