An insurance company has the business objective of reducing the amount of time it takes to approve applications for life insurance. The approval process consists of underwriting, which includes a review of the application, a medical information check, possible requests for additional medical information and medical exams, and a policy compilation stage in which the policy pages are generated and sent for delivery. The ability to deliver approved policies to customers in a timely manner is critical to the profitability of this service. During a period of one month, you collect a random sample of 27 approved policies, and the total processing time, in days, are: 73 19 16 64 28 28 31 90 61 56 31 56 22 18 45 48 17 18 17 91 92 64 50 51 69 16 17 In the past, the mean processing time was 45 days. At the 5% level of significance, is there evidence that the mean processing time has changed from 45 days? What assumption about the population distribution is needed in order to conduct this test?

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An insurance company has the business objective of reducing the amount of time it takes to approve applications for life insurance. The approval process consists of underwriting, which includes a review of the application, a medical information check, possible requests for additional medical information and medical exams, and a policy compilation stage in which the policy pages are generated and sent for delivery. The ability to deliver approved policies to customers in a timely manner is critical to the profitability of this service. During a period of one month, you collect a random sample of 27 approved policies, and the total processing time, in days, are:

73 19 16 64 28 28 31 90 61 56 31 56 22 18 45 48 17 18 17 91 92 64 50 51 69 16 17

In the past, the mean processing time was 45 days.

At the 5% level of significance, is there evidence that the mean processing time has changed from 45 days? What assumption about the population distribution is needed in order to conduct this test?

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