PřF:Bi9001 Statistical data analysis - Course Information
Bi9001 Statistical analysis of biological data
Faculty of ScienceAutumn 2012
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). 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: Věra Faronová
Supplier department: Department of Experimental Biology – Biology Section – Faculty of Science - Timetable
- Mon 13:00–14:50 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
- General Biology (programme PřF, M-BI, specialization Plant Physiology)
- General Biology (programme PřF, N-BI, specialization Plant Physiology)
- Special Biology (programme PřF, N-EXB)
- Special Biology (programme PřF, N-EXB, specialization Experimentální biologie rostlin)
- Course objectives
- At the end of the course the students are able to:
propose optimal experimental design suitable for specified purpose
select suitable statistical treatment for the data and experimental design
generalize and present the results of statistical tests using an appropriate 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 experimantal data, covering the methods presented at the course. Selection and justification of an appropriate method is an integral part of the exam. For all calculations the package Statistica can be used.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course can also be completed outside the examination period.
The course is taught annually. - Listed among pre-requisites of other courses
- Enrolment Statistics (Autumn 2012, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2012/Bi9001