Question

You work for an advertising agency that is preparing a new television commercial to appeal to women. You have been asked to design an experiment to compare the effectiveness of three versions of the commercial. Each subject will be shown one of the three versions and then asked to reveal her attitude toward the product. You think there may be large differences in the responses of women who are employed and those who are not. Because of these differences, you should use

a. a block design, but not a matched pairs design.

b. a completely randomized design.

c. a matched pairs design.

d. a simple random sample.

e. a stratified random sample.

Short answer

(a) we should use a block design, but not a matched pairs design.

Step-by-step solution

Given Information

You work for a marketing firm, and you're working on a new television commercial aimed towards women. You've been given the task of designing an experiment to compare the effectiveness of three different commercial versions. Each subject will be shown one of the three versions of the product and then asked to express her feelings about it. You believe there are significant variations in the responses of working and unemployed women.

Explanation for correct option

Since d and e are not designs, but rather sampling techniques, they can be deleted. Because there are only two levels of treatment, a matched pair design is utilised. Because it is not a matched pair design, answer c is not required to be considered. There are more than one element, thus the b isn't taken into account. Completely randomised design and randomised block design are the remaining options. The answer is randomised block design, because this design wishes to take that into account.

As a result, the best solution is (a)

Explanation for incorrect option

Option 'b' a completely randomized design is not the correct answer.

Option 'c' a matched pairs design is not the correct answer.

Option 'd' a simple random sample is not the correct answer.

Option'e' a stratified random sample is not the correct answer.