Statistical Methods in Biology 6.1-SMB
A: Lecture: Aim of statistical analyses in biological sciences. Statistical population and a sample. A mean; measuring variability. Confidence limits for a mean. Hypothesis testing using binomial and normal distribution. Basic parametrical and non-parametric tests. Analysis of regression and correlation. One-way analysis of variance. Presentation of statistical results.
B: Laboratory: Performing statistical analysis using software; the results interpretation. Measures of central tendency, dispersion and variability; t Student tests; normality test; basic non-parametric tests; analysing frequencies (the chi-square goodness of fit test); Kruskal–Wallis test and a posteriori test; Pearson correlation, Spearman correlation; simple linear regression; introduction to analysis of variance. Graphical presentation of results.
Course coordinators
Learning outcomes
Knowledge:
K_W14_ Performing advanced statistical methods for analysing biological data__P7S_WG
K_W17_ Know the most important statiscical methods used in biology and plan to properly use them during research_P7S_WG
K_W18_ Can describe advanced statistical methods used in biology_P7S_WG
Practical skills:
K_U05_Students pply statistical methods to describe biologiacl phenomens and to analyse empirical, biological data_P7S_UW
K_U06_Students are able to use adequate techniques to interpretation of empiricial dand literature sources and critically select the data needed_P7S_UW
Social competence:
K_K01_Student is aware of the complexity of the biological processes_P7S_UW
K_K02_ Understand the need for applying rigorous scientific methodology to research and for skepticism and caution when interpreting the results_P7S_UK
K_K03_Student is responsible for appliances, and can effectively cooperate with other students_P7S_UW
Assessment criteria
A. Way of final evaluation:
• lectures: a grad
• laboratory: a grade
B. Form of testing:
• lecture: written exam (exam consisting of a mixture of single-choice, multiple choice, and open questions; theoretical questions, interpretation of results of statistical analyses, short problems to solve, etc.); "open book exam" – participants can use own notes and books during the exam
• laboratory: practical test: practical test, using computer: analyses data set using computer software, interpretation of results; "open book exam" – participants can use own notes and books during the test
C. Basic criteria
• lecture: obtaining at least 40% of the total score available for the exam
• laboratory: participation and active performance during the computer laboratories, accepted protocols from individual work, obtaining at least 50% of the total score available for the final test
Bibliography
A. obligatory literature:
A.1. used during lectures and laboratory sessions
Manual of statistical software package.
Instructions for computer laboratories (will be available on the e-learning platform, for participants).
A.2. lectures for self-study
any book on statistical methods in biology, e.g. Fowler J., Cohen L., Jarvis P. 1997. Practical statistics for field biology. Chichester–New York, John Wiley & Sons.
Manual of statistical software package
Instructions for computer laboratories (will be available on the e-learning platform, for participants).
B. additional literature
Ferguson G.A., Takane Y. 1999. Analiza statystyczna w psychologii i pedagogice. Warszawa, Wydawnictwo Naukowe PWN.
Fowler J., Cohen L., Jarvis P. 1997. Practical statistics for field biology. Chichester–New York, John Wiley & Sons.
Łomnicki A. 2014. Wprowadzenie do statystki dla przyrodników. Warszawa, Wydawnictwo Naukowe PWN.
Meissner W. 2014. Przewodnik do ćwiczeń z przedmiotu Metody statystyczne w biologii. Gdańsk, Wydawnictwo Uniwersytetu Gdańskiego.
Quinn G.P., Keough M.J. 2002. Experimental design and data analysis for biologists. Cambridge University Press.
Sokal R.R., Rohlf F.J. 1995. Biometry. New York, Freeman and Company.
Zar J.H. 1999. Biostatistical analysis. New Jersey, Prentice-Hall Inc.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: