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MANE 6313

Week 7, Module F

Student Learning Outcome

  • Select an appropriate experimental design with one or more factors,
  • Select an appropriate model with one or more factors,
  • Evaluate statistical analyses of experimental designs,
  • Assess the model adequacy of any experimental design, and
  • Interpret model results.

Module Learning Outcome

Analyze a Single Replicate of a 2k with Center Points using R


Adding Center Points

  • Good idea if possible. Allows test for non-linearity

  • Requires quantitative factors

  • Will allow for lack of fit test and test for pure quadratic curvature

  • Notation

\[ \begin{aligned} n_c&:\mbox{ number of center points}\\ n_f&:\mbox{ number of observations at factorial points}\\ \bar{y}_f&:\mbox{ the average value at the factorial points}\\ \bar{y}_c&:\mbox{ the average value at the center point} \end{aligned} \]

Problem 6.35 (9th Edition)



Data Frame (coded values)

Factorial Portion


Second Data Frame for Center Points

Center Points


Combined Data Frame

Combined Data Frame


Analysis

  • Use the lm function

Analysis


Analysis, Second Model

  • This time use the rsm() function

Refined Model


R Demonstration