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Standard order is the same as run order.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
Why use factorial plots? Answer: e.
Option 1: Allows you to see the plots of the main effects
Option 2: Allows you to see the interaction plots
Option 3: Allows you to see the cube plots
Option 4: Shows how to set each factor to either maximize or minimize the response
Option 5: All of the above
What tools can be used to determine if factors have interaction?
Option 1: Balanced ANOVA
Option 2: Standardized effects
Option 3: Interaction plots
Option 4: Fractional factorial fits
Option 5: All of the above
What does it mean when no p-values are presented in the ANOVA output?
Option 1: Means the factors are statistically significant
Option 2: Means the factors are not different
Option 3: Only one repetition was run at each treatment combination.
Option 4: Had no center points
Option 5: All of the above
Why do we replicate our experimental runs?
Option 1: So we can look for special causes
Option 2: To obtain a better estimate of the error and look at interactions
Option 3: To determine the factor levels
Option 4: So we can look at the same thing run again
Option 5:
To use a center point in your experimental design, at least one factor must be able to be set at its midpoint coded value = 0.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
Why use center points in your experimental design?
Option 1: To check for linearity
Option 2: To check for interactions
Option 3: To detect curvature
Option 4:
Option 5:
If a center point is significant, its p-value in the ANOVA table will be greater than 0.05.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
Fractional factorial designs require more runs than full factorial designs given the same number of factors.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
What is the main reason for using a fractional factorial design?
Option 1: True
Option 2: False
Option 3:
Option 4: . All of the above
Option 5:
In a four-factor 1/2 fractionated design, the AB interaction is confounded with the CD interaction.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
What does it mean when A is confounded with BC?
Option 1: A is contributing to the result.
Option 2: BC is contributing to the result.
Option 3: The computed coefficients are related to the sum of the two individual effects.
Option 4: The sums of squares are related to the sum of the two individual effects.
Option 5:
In a resolution IV design, two-factor interactions are aliased with three-factor interactions.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
In a resolution III design, single factors are not aliased with any other factors.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
The identity expression I + ABCD is used to generate the confounding pattern.
Option 1: True
Option 2: False
Option 3:
Option 4:
Option 5:
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