Statistics (STAT)
School of Mathematics and Statistics
Faculty of Science
STAT 3504 [0.5 credit]
Analysis of Variance and Experimental Design
Single and multifactor analysis of variance, orthogonal contrasts and multiple comparisons, analysis of covariance; nested, crossed and repeated measures designs; completely randomized, randomized block, Latin squares, factorial experiments, related topics. Computer packages are used for statistical analyses.
Precludes additional credit for
STAT 4504, and for
STAT 3505,
STAT 3501;
PSYC 3000 is precluded for additional credit for students registered in a Mathematics program.
Prerequisite:
STAT 3503 or permission of the School.
Lectures three hours a week and one hour laboratory.