A university administrator would like to estimate the true mean salary of all professors at the university. She uses $4000 as the population standard deviation of the salary of all professors at the university. What sample size would be required so that a 90% confidence interval for 𝜇 has a length of $2000?
Given,
Standard deviation "\\sigma=" $"4000"
Mean salary "\\mu=" $"2000"
Confidence level="90%" %
Let "n" be the sample size
The value of z at 90% confidence level is 1.645
As we know, "z=\\dfrac{x-\\mu}{\\sigma}"
"1.645=\\dfrac{x-2000}{4000}"
"x=1.64\\times4000+2000=8560" $
Also The confidence interval is given by-
"x=\\mu\\pm z\\dfrac{\\sigma}{\\sqrt{n}}"
"\\implies 8560=2000\\pm 1.645\\times \\dfrac{4000}{\\sqrt{n}}"
"\\implies \\dfrac{4000}{\\sqrt{n}}=\\dfrac{8560-2000}{1.645}"
"\\implies \\sqrt{n}=\\dfrac{4000\\times 1.645}{6560}=1.003"
"\\implies n=1.01"
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