PhD basic courses in transferable skills


Statistics II: Experimental Design and ANOVA, Uppsala

The objective of the course is to give an overview of the basic principles behind design and analysis of factorial experiments.
On completion of the course, the student will be able to:

  • describe basic principles in experimental design and specify analysis of variance (ANOVA) models including conditions and assumptions;
  • select an appropriate ANOVA model for a given experimental design;
  • carry out ANOVA using the statistical software R;
  • interpret and evaluate results correctly and draw reasonable conclusions;
  • clearly and concisely communicate results and conclusions.
To Course syllabus >>

Prior knowledge: Statistics I or equivalent. Furthermore, you are expected to have acquired basic knowledge of R before the course starts, such as how to read a dataset into the program, and how to make simple computations.

4 credits

Admitted to a Ph.D. program at SLU. If you are not a Ph.D. student or not at SLU, contact to check the availability of places in the course.


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