ECTS
ECTS Course Catalogue
Course details
Course code: BBS20246o10Semester: 2010/2011 winter
Name: Statistical methods in biology
Major: Biology
Study Type: second cycle
Course type: compulsory
Study Semester: 1
ECTS points: 5
Hours (Lectures / Tutorials / Other): 15 / 30 / 0
Lecturer: dr hab. Joanna Szyda
Language of instruction: Polish
Learning outcomes: Students obtain theoretical knowledge of mathematical statistics related to experimental design and statistical analysis of experimental and field data, together with practical skills of carrying basic statistical analysis as well as of interpreting results. Additionally, students learn how to solve complex problems working in a team.
Competences: The course allows students for independent choice of statistical methodology and for carrying statistical analysis of data required for their bachelor and master thesis. Students are also able to understand the statistical methodology and interpret results of research papers, which can be incorporated as references for their bachelor or master thesis. After course completion students posses skills enabling them to work in institutions dealing with data analysis and interpretation.
Prerequisites: Mathematics.
Course content: Populations and samples; hypotheses testing; parameter estimation; t test and other tests for comparison of two means; 2 test; F test; analysis of variance and covariance; regression; correlation; fixed and random effects; repeated effects; experimental design.
Recommended literature: Collett, D. (1991) Modelling Binary Data, Chapmann and Hall; Draper, N.R., Smith, H. (1998) Applied Regression Analysis, Wiley; Hawkins, D. (2005) Biomeasurement. Understanding, analysing, and communicating data in the biosciences. Oxford University Press; Ruxton and Colegrave (2003) Experimental design for the life sciences.
Assessment methods: Completion of the practical training part is based on grades, which are granted during the semester (minimum average grade to pass 2.51), completion of the lecture part requires the completion of the practical part and of the exam (minimum 60% of knowledge required to pass).
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