CertifQ

SELECT THE CORRECT ANSWER Effect C is the most significant for the model Effect D is the least significant for the model Effect A and B can be ignored Any conclusion can only be made after looking at the p-values for the effects ANSWER Any...

OPTIONS Quarter Fractional Factorial Design Screening Design Half fractional Factorial Design Resolution IV design ANSWER HALF FRACTIONAL FACTORIAL DESIGN EXPLANATION For 8 factors and 2 levels, full factorial experiment would have resulted in 256 runs, so here with 128 runs, Half fractional Factorial Design is...

OPTIONS Curvature effects are not estimated The variable response doesn’t follow linearity The model may be exposed to noise Extraneous factors may go undetected ANSWER The model may be exposed to noise EXPLANATION Full factorials on one replicate are very good experiments for interaction, but...

OPTIONS There is 82% chance the model is significant There is 82% chance the model is non-significant There is 64% chance the model is significant There is 64% chance the model is non-significant ANSWER There is 82% chance the model is non-significant EXPLANATION SECOND OPTION...

OPTIONS Quarter Fractional Factorial Design Screening Design Half fractional Factorial Design Resolution IV design ANSWER RESOLUTION IV DESIGNS EXPLANATION This type of an experimental setting gets classified as a Resolution IV design.

OPTIONS 20 5 25 15 ANSWER 5 EXPLANATION Mean Squares = Sum Squares/Degrees of freedom, so 5 is correct.

OPTIONS Replication Randomization Coding Blocking ANSWER REPLICATION EXPLANATION Replication helps you to understand the difference between the different variances.

OPTIONS Factor A decreases response by 2.5 Factor A increases response by 2.5 Response increases factor A by 2.5 Response decreases factor A by 2.5 ANSWER Factor A increases response by 2.5 EXPLANATION A main effect showing up as X indicates the impact of the...

OPTIONS PositiveNegativeNegligibleNone of the above ANSWER Positive EXPLANATION Using standard calculations for main effect, POSITIVE is correct

OPTIONS Goodness of fit p-value is less than 0.05Goodness of fit p-value is more than 0.05Scaled residuals are in the range 0 and -1The Normal Plots are approximately linear ANSWER Goodness of fit p-value is more than 0.05 EXPLANATION The best statistically validated conditions can...