A credit card company operates two customer service centers: one in Boise and one in Richmond. Callers to the service centers dial a single number, and a computer program routes callers to the center having the fewest calls waiting. As part of a customer service review program, the credit card center would like to determine whether the average length of a call (not including hold time) is different for the two centers. The managers of the customer service centers are willing to assume that the populations of interest are normally distributed with equal variances. Suppose a random sample of phone calls to the two centers is selected and the following results are reported: Boise n₁ = 120 $₁ = 35.10 x₁ = 195 Richmond n₂=135 $₂ = 37.80 x₂ = 216 Using the sample results, develop a 90% confidence interval estimate for the difference between the two population means.
A credit card company operates two customer service centers: one in Boise and one in Richmond. Callers to the service centers dial a single number, and a computer program routes callers to the center having the fewest calls waiting. As part of a customer service review program, the credit card center would like to determine whether the average length of a call (not including hold time) is different for the two centers. The managers of the customer service centers are willing to assume that the populations of interest are normally distributed with equal variances. Suppose a random sample of phone calls to the two centers is selected and the following results are reported: Boise n₁ = 120 $₁ = 35.10 x₁ = 195 Richmond n₂=135 $₂ = 37.80 x₂ = 216 Using the sample results, develop a 90% confidence interval estimate for the difference between the two population means.
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
Transcribed Image Text:A credit card company operates two customer service centers: one in Boise and one in Richmond. Callers to the
service centers dial a single number, and a computer program routes callers to the center having the fewest calls
waiting. As part of a customer service review program, the credit card center would like to determine whether the
average length of a call (not including hold time) is different for the two centers. The managers of the customer
service centers are willing to assume that the populations of interest are normally distributed with equal variances.
Suppose a random sample of phone calls to the two centers is selected and the following results are reported:
Boise
ni = 120
S₁ = 35.10
x₁ = 195
Richmond
n₂ = 135
$₂ = 37.80
x₂ = 216
Using the sample results, develop a 90% confidence interval estimate for the difference between the two
population means.
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