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Aug 21, 2024
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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: On-ground, or Hybrid or Online-Asynchronous. 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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