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lagreen2323 lagreen2323
wrote...
Posts: 27
Rep: 1 0
12 years ago
According to the American Medical Association, Physicians in the United States work an average of 59 hours per week.  If this study was based on a random sample of 25 physicians and the sample standard deviation is 3 hours, calculate a 95% confidence interval for the true mean hours that physicians work.

b) What sample size would be necessary for a standard error of .05?
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wrote...
Educator
9 years ago
Can anyone provide some insight on how to do this?
wrote...
9 years ago Edited: 9 years ago, metal_zelda
This is a one-sample problem in which we do not know the population standard deviation and we are given sample data; thus, we must use a t-interval, the formula for which is:

\(\overline{X}\pm t^*(\frac{sd}{\sqrt{n}})\)

In other words, we are going t* sample standard deviations from the mean in both directions, with n-1 degrees of freedom. I'm assuming this is elementary stats, so I'll grab t* from a table.
\(
\overline{X}=59
n=25
sd=3
t^*=2.064\)

which gives us

\(25\pm1.2384
\)

23.76-26.24

For part b, we merely set the standard error equal to .05 and solve for n. With this in mind, I'm wondering if the topic creator didn't intend to write margin of error instead.

\(\frac{s}{\sqrt{n}}=.05\)

n=3,600
wrote...
Educator
9 years ago
Awesome!
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