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In: Statistics and Probability

In an article in Advertising Age, Nancy Giges studies global spending patterns. Giges presents data concerning...

In an article in Advertising Age, Nancy Giges studies global spending patterns. Giges presents data concerning the percentage of adults in various countries who have purchased various consumer items (such as soft drinks, athletic footware, blue jeans, beer, and so on) in the past three months. (Round answer to 4 decimal places.)

(a) Suppose we wish to justify the claim that fewer than 50 percent of adults in Germany have purchased blue jeans in the past three months. The survey reported by Giges found that 44 percent of the respondents in Germany had purchased blue jeans in the past three months. Note: The actual figure in the survey is different; the figure has been changed here for instructional purposes. Assume that a random sample of 405 German adults was employed, and let p be the proportion of all German adults who have purchased blue jeans in the past three months. If, for the sake of argument, we assume that p = .5, use the normal approximation to the binomial distribution to calculate the probability that 44 percent or fewer of 405 randomly selected German adults would have purchased blue jeans in the past three months. Note: Because 44 percent of 405 is 178, you should calculate the probability that 178 or fewer of 405 randomly selected German adults would have purchased blue jeans in the past three months. P

(b) Based on the probability you computed in part a, would you conclude that p is really less than .5?

That is, would you conclude that fewer than 50 percent of adults in Germany have purchased blue jeans in the past three months? Yes No

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