A mail-order catalog firm designed a factorial experiment to test the effect of the size of...

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A mail-order catalog firm designed a factorial experiment totest the effect of the size of a magazine advertisement and theadvertisement design on the number of catalog requests received(data in thousands). Three advertising designs and twodifferent-size advertisements were considered. The data obtainedfollow.

Size ofAdvertisement
SmallLarge
DesignA812
128
B2226
1430
C1018
1814

Use the ANOVA procedure for factorial designs to test for anysignificant effects due to type of design, size of advertisement,or interaction. Use α = 0.05.

Find the value of the test statistic for type of design. (Roundyour answer to two decimal places.)

Find the p-value for type of design. (Round your answerto three decimal places.)

p-value =

State your conclusion about type of design.

Because the p-value ≤ α = 0.05, type of designis not significant.Because the p-value > α =0.05, type of design issignificant.     Because thep-value > α = 0.05, type of design is notsignificant.Because the p-value ≤ α = 0.05, typeof design is significant.

Find the value of the test statistic for size of advertisement.(Round your answer to two decimal places.)

Find the p-value for size of advertisement. (Round youranswer to three decimal places.)

p-value =

State your conclusion about size of advertisement.

Because the p-value ≤ α = 0.05, size ofadvertisement is not significant.

Because the p-value ≤ α = 0.05, size ofadvertisement is significant.    

Because the p-value > α = 0.05, size ofadvertisement is not significant.

Because the p-value > α = 0.05, size ofadvertisement is significant.

Find the value of the test statistic for interaction betweentype of design and size of advertisement. (Round your answer to twodecimal places.)

Find the p-value for interaction between type of designand size of advertisement. (Round your answer to three decimalplaces.)

p-value =

State your conclusion about interaction between type of designand size of advertisement.

Because the p-value > α = 0.05, interactionbetween type of design and size of advertisement is significant

.Because the p-value > α = 0.05,interaction between type of design and size of advertisement is notsignificant.     

Because the p-value ≤ α = 0.05, interactionbetween type of design and size of advertisement is notsignificant

.Because the p-value ≤ α = 0.05, interactionbetween type of design and size of advertisement issignificant.

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