MANE 6313

Week 4, Module C

Student Learning Outcome

Analyze simple comparative experiments and experiments with a single factor.

Module Learning Outcome

Justify model assumptions incorporated in One-Way Analysis of Variance.

Resources for the Week 4, Module C micro-lecture are:

• Week 4, Module C Micro-lecture
• Week 4, Module C Marked Notes

---

Model Adequacy Testing

• Normality

  • Most often checked with normal probability plots of residuals

  • Will detect non-normality and outliers

• Residual Analysis

  • Plot of residuals in time sequence

    • Will detect correlation between residuals and also process drift

  • Plot of residuals versus fitted values

    • Will detect non-constant variance

  • Plot of residuals versus factors

    • Will detect non-constant variance

---

Mortar Example Problem

---

Standardized Residuals

• Interpretation is easier if the residuals are standardized

---

Minitab Demonstration

• Calculation and storage of residuals
• Construction of residual plots
• Construction of normal probability plot