Presence throughout the course is not necessary, but strongly recommended to allow following the practical courses in the afternoons. The lecture mark is based on a written examination. No materials are permitted during examination.
Successful participants will gain a working understanding of the mathematical and computational mechanics behind the most commonly used statistical methods in ecology. They will understand how to interpret graphical and tabular output from univariate, bivariate and multivariate analyses of ecological datasets as presented in scientific papers and reports. The lecture also explains backgrounds of statistical thinking, hypothesis testing, study planning and experimental design.
The course is scheduled as one block (1 week, 9:00-12:00) in February 2017. The lecture should be attended in combination with the practical course (UE) with the same title and taking place in the same period in the afternoons.
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
A course handout will be provided.