DEPARTMENT OF STATIS TICS
COLLEGE OF ARTS & SCIENCES
330.972.6886 (TELEPHONE)
Course Description
3470:663
Prerequisite:
Experimental Design
3 credits
3470:461/561 Applied Statistics or equivalent.
Course Description: Selected topics in experimental design including random and
fixed effects, nested designs, split plot designs, confounding, fractional factorials,
Latin squares, and analysis of covariance.
Course Topics:
Completely Randomized Designs
One-way ANOVA and F Test
Randomization Test
Checking model assumptions
Kruskal-Wallis Test
Multiple comparisons and contrasts
Factors with quantitative levels
Expected mean squares
Fixed and random effects
Estimating variance components
Sample size and power
Subsampling
Block Designs
Randomized complete block designs
ANOVA for RCB’s
Interaction and additivity
Generalized randomized complete block designs
ANOVA for GRCB’s
Balanced incomplete block designs
ANOVA for BIB’s
Latin Square Designs
Basic Latin square designs and ANOVA
Replicated Latin square designs and ANOVA
Latin rectangle designs and ANOVA
Factorial Designs
General factorial designs and ANOVA
2k factorials
Fractional factorials
Factorials with random or mixed effects
Nested Designs
Two-stage nested designs and ANOVA
Multi-stage nested designs
Designs with nested and crossed factors
Split Plot Designs
Basic split plot design and ANOVA
Split plot variations
Analysis of Covariance
Introduction to Response Surface Methodology
Practical Issues
Choosing the appropriate design for a study
Implementing the chosen design
Use of statistical software to analyze data
Presentation of the results of a study
Fall 2014