Statistics for Biologists
We usually run the course two days a week for 7-8 weeks during November–January, with lectures in the mornings and exercises in the afternoons. Participants may need to spend some time for the exercises between scheduled events. For your planning, you will have access to the exercises in advance.
Introduction to SPSS/R, binomial-, poisson- and normal distribution, descriptive statistics and graphs, hypotheses testing, t-test, ANOVAs, correlation, regression, multiple and non-linear regression, chi-square, G-tests, log-linear modelling, logistic regression and survival, discriminant, PCA and cluster analyses.
There will be a home assignment at the end of the course.
Completion of the course renders 7.5 ECTS.
Gerry P Quinn and Michael J Keough. 2002. Experimental Design and Data Analysis for Biologists, Cambridge University Press.
- Per-Erik Isberg (Dept. of Statistics), lectures
- Jessica Abbott (Evolutionary Ecology, course leader), exercises
Computers and software
This year the choice of software is up to the student, but instructions for the exercises will only be provided for SPSS and R. Computers (PC:s) will be available, but feel free to bring your own. To do all exercises in SPSS, ver. 12 or higher with extra modules (e.g. Advanced and Regression models) is necessary. If you are interested in using R, a short introduction will be provided before the course starts. It is strongly recommended that you attend this introduction if you would like to use R during the course.