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Section I: Multiple Choice Choose the best answer for each question. You work for an
Chapter 7, Problem AP2.8(choose chapter or problem)
Section I: Multiple Choice Choose the best answer for each 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 about her attitude toward the product. You think there may be large differences between 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.
Questions & Answers
QUESTION:
Section I: Multiple Choice Choose the best answer for each 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 about her attitude toward the product. You think there may be large differences between 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.
ANSWER:Step 1 of 3
The experimental units will be the subjects who will see the commercials.
The advertisers want to compare three versions of commercials which will be the treatment of the experiment Treatments are the conditions we want to apply to a subject and compare whether there will be any difference in the effect of applying it
However, advertisers hypothesized as well that employed women as an audience will have a different perception to those who are unemployed. We need to consider this to know where to attribute properly the results.