Experimental Design and Statistical Methods (HMI 504)

Lectures: 45 h

Recommended for
Graduate students.

Goals
To give student basic knowledge in statistical methods and experimental design.als_

Prerequisites
Graduate Student status or qualified undergraduate.

Contents
Topics include: Factorial experiments, Interactions (Two and three-way), Fixed, random and mixed designs, Simple effects tests, Pairwise comparisons and contrasts, Nested designs and Partially nested designs, Generation of expected mean squares, Quasi F-tests and pooling, Between-within designs, Probing techniques, Unequal n procedures, Latin Square designs, Simple and Multiple Regression, Correlation, Hypothesis testing, Partial Correlation, Analysis of Covariance. Non-parametric statistics. An overview of statistical methods not learnt in other courses: Factor analysis, cluster analysis, multidimensional scaling.

Literature
Keppel, G. (1991). Design and Analysis. A Researcher's Handbook. Englewood Cliffs, N.J.: Prentice-Hall.
Siegel, S and Castellan, N.J. (1988). Nonparametric Statistics. McGraw- Hill, New York. Copied articles.

Teachers
Håkan Alm

Examiner
Håkan Alm

Schedule
Thirty lectures @ 1.5 hours. The courses starts on September 6, at 9.15-12.00.

Examination
Homeworks, Two written tests.

Credit
5 credits

Page responsible: Director of Graduate Studies