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 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.
Andrew P. Beckerman, Dylan Z. Childs, & Owen L. Petchey. 2017. Getting Started with R: An Introduction for Biologists (Second edition), Oxford University Press.
- Per-Erik Isberg (Dept. of Statistics), lectures
- Jessica Abbott (Evolutionary Ecology, course leader), exercises
Computers and software
Exercises are carried out in R and you are encouraged to use your own laptop. If you do not have a laptop then it is possible to borrow a student laptop. A short optional introduction to R is provided on the first day of the course. It is strongly recommended that you attend this introduction if you do not have previous experience with R.