An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 35 hours. How large a sample is needed if we wish to be 92​% confident that our sample mean will be within 13 hours of the true​ mean?

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An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 35 hours. How large a sample is needed if we wish to be 92​% confident that our sample mean will be within 13 hours of the true​ mean?

An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 35 hours. How large a sample
is needed if we wish to be 92% confident that our sample mean will be within 13 hours of the true mean?
Click here to view page 1 of the standard normal distribution table.
Click here to view page 2 of the standard normal distribution table.
Click here to view page 1 of the table of critical values of the t-distribution.
Click here to view page 2 of the table of critical values of the t-distribution.
The required sample size is
(Round up to the nearest whole number as needed.)
Transcribed Image Text:An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed with a standard deviation of 35 hours. How large a sample is needed if we wish to be 92% confident that our sample mean will be within 13 hours of the true mean? Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. The required sample size is (Round up to the nearest whole number as needed.)
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