Efficient manufacturing: Efficiency experts study the processes used to manufacture items in order to make them as efficient as possible. One of the steps used to manufacture a metal clamp involves the drilling of three holes. In a sample of 65 clamps, the mean time to complete this step was 45.7 seconds. Assume that the population standard đeviation is a = 8 seconds. Part 1 Construct an 80% confidence interval for the mean time needed to complete this step. Round to one decimal place, if necessary. An 80% confidence interval for the mean is 14.4

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Efficient manufacturing: Efficiency experts study the processes used to manufacture items in
order to make them as efficient as possible. One of the steps used to manufacture a metal
clamp involves the drilling of three holes. In a sample of 65 clamps, the mean time to
complete this step was 45.7 seconds. Assume that the population standard deviation is o - 8
seconds.
Part 1
Construct an 80% confidence interval for the mean time needed to complete this step.
Round to one decimal place, if necessary.
An 80% confidence interval for the mean is [14.4
<H <17
Part 2 out of 2
Find the sample size needed so that a 90% confidence interval will have margin of error of
1.5.
|Is needed in order to obtain a 90% confidence interval with a margin
A sample size of
error of 1.5.
Transcribed Image Text:Efficient manufacturing: Efficiency experts study the processes used to manufacture items in order to make them as efficient as possible. One of the steps used to manufacture a metal clamp involves the drilling of three holes. In a sample of 65 clamps, the mean time to complete this step was 45.7 seconds. Assume that the population standard deviation is o - 8 seconds. Part 1 Construct an 80% confidence interval for the mean time needed to complete this step. Round to one decimal place, if necessary. An 80% confidence interval for the mean is [14.4 <H <17 Part 2 out of 2 Find the sample size needed so that a 90% confidence interval will have margin of error of 1.5. |Is needed in order to obtain a 90% confidence interval with a margin A sample size of error of 1.5.
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