Bi9001 Statistical analysis of biological data

Faculty of Science
Autumn 2003
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: Eliška Karasová
Prerequisites
Basic knowledge of PC and spreadsheet (MS Excel, Quattro Pro)
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
Data collecting. Organization of data within spreadsheets. PC-based statistical packages. Data import from spreadsheets. Variable types, statistical distribution, kvantils, null hypothesis, 1st and 2nd type of error. 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 and nested design, interaction, fixed effect and random effect models, mixed model. Covariance analysis. Correlation analysis, Pearson's and partial correlation coefficient. Regression analysis, linear and non-linear regression, multiple regression. Verbal interpretation of results, tabelar and graphical presentation of results.
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 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, 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 2003, recent)
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