ne early part of its lifetime, while late replaCement buyers make replacement purchases late in the products Iifetime. In ar, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and s of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of r more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of visited, the time spent gathering information, and the time spent visiting dealers. Regard the sample of 500 late replacement Ffor which o = .71. How large a sample of late replacement buyers is needed to make us (Round up your answers to the next umber.): ercent confident that mple mean number of dealers visited, is within a margin of error of .04 of u, the population mean number of dealers visited? buyers

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In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers" and "late replacement
buyers" in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product
during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product's lifetime. In
particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and
mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of
seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two
groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two
groups with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of
dealers visited, the time spent gathering information, and the time spent visiting dealers. Regard the sample of 500 late replacement
buyers for which o = .71. How large a sample of late replacement buyers is needed to make us (Round up your answers to the next
whole number.):
(a) 99 percent confident that
, the sample mean number of dealers visited, is within a margin of error of .04 of µ, the population mean number of dealers visited?
n
buyers
(b) 99.73 percent confident that
is within a margin of error of .05 of u?
n
buyers
Transcribed Image Text:In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers" and "late replacement buyers" in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product's lifetime. In particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two groups with respect to the amount of search activity in the replacement purchase process. Variables compared included the number of dealers visited, the time spent gathering information, and the time spent visiting dealers. Regard the sample of 500 late replacement buyers for which o = .71. How large a sample of late replacement buyers is needed to make us (Round up your answers to the next whole number.): (a) 99 percent confident that , the sample mean number of dealers visited, is within a margin of error of .04 of µ, the population mean number of dealers visited? n buyers (b) 99.73 percent confident that is within a margin of error of .05 of u? n buyers
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