q5_anova - 16.881 Robust System Design Quiz #5 Analysis of...

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16.881 – Robust System Design Quiz #5 Analysis of Variance 1) In Taguchi methods, the F value for a factor effect is defined as a) The probability that the we reject the hypothesis that the factor effect equals zero. b) The sum of squares due to a factor divided by the error variance. c) The mean square due to a factor divided by the error variance. d) The sum of squares due to a factor divided by the DOF for the factor. 2) In Taguchi methods, “pooling” the variance of the factor effects with the lowest contributions to the total sum of squares: a) Provides an unbiased estimate of error variance. b) Provides an approximate estimate of error variance without the need for replicates. c) Reduces the error variance thereby increasing the efficiency of a matrix experiment. d) Cannot be performed before the confirmation experiment is complete. 1
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1 2 3 4 5 6 7 8 9 The data below represent the results from an L9 with one noise factor in an outer array and three replicates. The table below the
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This note was uploaded on 11/08/2011 for the course AERO 16.851 taught by Professor Ldavidmiller during the Fall '03 term at MIT.

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q5_anova - 16.881 Robust System Design Quiz #5 Analysis of...

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