STAT 631 - Analysis of Variance Models

Units: 4
Models for analysis of variance. Expected mean squares, factorial designs, random effects, nesting, power/sample size, mixed model, balanced/unbalanced designs, ANOVA model assessment. Computer-aided analysis. Report writing.

Prerequisites: STAT 630.
Possible Instructional Methods: Entirely On-ground, or Entirely Online, or Hybrid.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Apply ANOVA methodologies, including a) descriptive statistics and graphical displays, b) hypothesis testing, confidence intervals as pertains to analysis of variance models.
Formulate and model practical problems for solutions using analysis of variance techniques.
Produce relevant computer output using standard statistical software and interpret the results appropriately.
Communicate ANOVA concepts and analytical results clearly and appropriately to others.

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