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Shank's, Inc., a nationwide advertising firm, wants to know whether the size of an advertisement and the color of the advertisement make a difference in the response of magazine readers. A random sample of readers is shown ads of four different colors and three different sizes. Each reader is asked to give the particular combination of size and color a rating between 1 and 10. Assume that the ratings are approximately normally distributed. The rating for each combination is shown in the table following (for example, the rating for a small red ad is 2). Is there a difference in the effectiveness of an advertisement by color and by size? Use the 0.05 level of significance.
Color of Ad
Size of Ad
Red Blue Orange Green
Small 2 3 3 6
Medium 3 5 6 7
Large 6 7 8 8
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The following is sample information. Test the hypothesis at the .05 significance level that the treatment means are equal.
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A manufacturer claims that he makes light bulbs each of which has a 0.9 probability of operating successfully when plugged in.
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Explain the independent variable, covariate, and levels (groups) of eah. Also, explain the dependent variable and its associated measurement scale and expected outcome.
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