Displaying and summarizing data

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Television advertisers are trying to decide which of the approaches outlined in Exercise 1.21 to use in an upcoming study of age and response to an advertisement. At this point, are they mainly concerned with data production, displaying and summarizing data, probability, or performing statistical inference?

Exercise 21

Suppose television advertisers want to know if age plays a role in people's response to a rather unconventional ad that might be aired during the next Super Bowl. The ad is shown to a variety of viewers. Keeping in mind that the explanatory variable is not necessarily the first one mentioned, classify each of the following possible approaches as involving one of these relationships:

C → C: categorical explanatory variable and categorical response variable

C → Q: categorical explanatory variable and quantitative response variable

Q → C: quantitative explanatory variable and categorical response variable

Q → Q: quantitative explanatory variable and quantitative response variable

a. They ask whether or not a viewer likes the ad, and record his or her age.

b. They classify a viewer as being youth, young adult, middle-aged, or senior citizen, and whether or not he or she likes the ad.

c. Viewers' ages are recorded, along with their rating of the ad on a scale of 1 (most unfavorable) to 10 (most favorable).

d. Viewers' ratings of the ad on a scale of 1 to 10 are recorded, along with the viewers' age group as being youth, young adult, middle-aged, or senior citizen.

Reference no: EM131816148

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