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MANE 6313

Week 4, Module D

Student Learning Outcome

Analyze simple comparative experiments and experiments with a single factor.

Module Learning Outcome

Assess the assumption of equal variances in one-way analysis of variance.


Test for Equality of Variances

  • Bartlett's Test

  • Relies on the assumption of Normality

  • Levene's Test

  • More robust to departures of Normality

  • R performs both tests!


Bartlett's Test Example Problem

Module D Data

The source for problems 12. 10 and 12.30 is Ostle, Turner, Hicks and McElrath[^1]


Box Plots

Box Plot of Data


Analysis of Variance

Analysis of Variance for 12.30


Residual Plot

Residual Plot


Bartlett's Test

\[ \begin{eqnarray*} H_0&:&\sigma^2_1=\sigma^2_2=\cdots=\sigma^2_a\\ H_1&:&\mbox{above not true for at least one }\sigma^2_i \end{eqnarray*} \]

Bartlett's Test


Levene's Test

\[ \begin{eqnarray*} H_0&:\sigma^2_1=\sigma^2_2=\cdots=\sigma^2_a\\ H_1&:\mbox{above not true for at least one }\sigma^2_i \end{eqnarray*} \]

Levene's Test


R Demonstration


[^1]: Ostle, Turner, Hicks and McElrath. (1996). Engineering Statistics: The Industrial Experience. Duxbury Press.