PNS0179 Statistics II: Experimental Design and ANOVA, 4.0 Credits
Subjects Mathematic Statistics
Pass / Failed
The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
Statistics I: Basic Statistics or equivalent
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 or SAS
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions
The course will cover the following topics:
• Analysis of experiments with one or more fixed and random factors, randomized block designs, crossed and nested factors.
• Multiple comparisons.
• Analysis of residuals.
• Non-parametric ANOVA, Kruskal–Wallis’ and Friedman’s tests.
• Mixed-effects models
Department of Energy and Technology