Print Syllabus

Syllabus

PNS0179 Statistics II: Experimental Design and ANOVA, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Language

English

Prior knowledge

Statistics I: Basic Statistics or equivalent

Objectives

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

Content

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

Formats and requirements for examination

Requirements for examination:

Passed exercises and passed examination in written and/or oral form.

• If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.

• The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.

• If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.

• For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.

Responsible department

Department of Energy and Technology