To gauge the reactions of possible customers, the manufacturer of a new type of cellular telephone displayed the product at a kiosk in a busy shopping mall. The table to the right summarizes the results for the customers who stopped to look at the phone. Complete parts (a) through (c) below. Male Female Favorable 40 17 Ambivalent 44 Unfavorable 30 5 (a) Is the reaction to the new phone associated with the sex of the customer? How strong is the association? Since V=D is , there is V association between the two variables. (Round to two decimal places as needed.) (b) How should the company use the information from this study when marketing its new product? O A. Assuming that the reactions of the women sampled are representative of all women, the company should market toward women first since they had a higher percentage of favorable reactions. O B. Assuming that the reactions of the women sampled are representative of all women, the company should market toward women first since they had few unfavorable reactions. OC. The company should market toward men first since they had a higher percentage of favorable reactions. O D. The company should market toward men first because more men participated in the survey. (c) Can you think of an underlying lurking variable that might complicate the relationship shown here? Justify your answer. O A. Variables such as the average age of the participants or the median income of the town where the mall is located are possible lurking variable because people's opinions may be related to the age or wealth. O B. Variables such as the proportion that carry a phone, the time of day, or the day of the week are possible lurking variables because these may be associated with the sex of the customer and also with the reactions to the new phone. OC. There are no lurking variables because the sex of the customer is the only variable that is associated with the reactions to the new phone. O D. The mall where the data was gathered is the only significant lurking variable because it may have different types of customers than other malls.
To gauge the reactions of possible customers, the manufacturer of a new type of cellular telephone displayed the product at a kiosk in a busy shopping mall. The table to the right summarizes the results for the customers who stopped to look at the phone. Complete parts (a) through (c) below. Male Female Favorable 40 17 Ambivalent 44 Unfavorable 30 5 (a) Is the reaction to the new phone associated with the sex of the customer? How strong is the association? Since V=D is , there is V association between the two variables. (Round to two decimal places as needed.) (b) How should the company use the information from this study when marketing its new product? O A. Assuming that the reactions of the women sampled are representative of all women, the company should market toward women first since they had a higher percentage of favorable reactions. O B. Assuming that the reactions of the women sampled are representative of all women, the company should market toward women first since they had few unfavorable reactions. OC. The company should market toward men first since they had a higher percentage of favorable reactions. O D. The company should market toward men first because more men participated in the survey. (c) Can you think of an underlying lurking variable that might complicate the relationship shown here? Justify your answer. O A. Variables such as the average age of the participants or the median income of the town where the mall is located are possible lurking variable because people's opinions may be related to the age or wealth. O B. Variables such as the proportion that carry a phone, the time of day, or the day of the week are possible lurking variables because these may be associated with the sex of the customer and also with the reactions to the new phone. OC. There are no lurking variables because the sex of the customer is the only variable that is associated with the reactions to the new phone. O D. The mall where the data was gathered is the only significant lurking variable because it may have different types of customers than other malls.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
Problem 6E: Urban Travel Times Population of cities and driving times are related, as shown in the accompanying...
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