Bi9001 Statistical analysis of biological data

Faculty of Science
Autumn 2008
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
Prerequisites
Basic knowledge of PC and spreadsheet (MS Excel will be used in the 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
Course objectives
The main aim of the course is to familiarize students with the basic statistical methods.
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. type of error. Experimental design, choosing appropriate statistical method. X2 test. F-test, t-test. One-way analysis of variance, homogeneity of variances, independence of residuals, data transformations, contrasts. 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, Spearmen 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
Assessment methods
The exam is based on the practical statistical treatment of three sets of experimantal data, covering the methods presented at the course. For all calculations the package Statistica is recommended.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2008, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2008/Bi9001