Suppose that I take a sample of 10 observations from a Normal distribution whose true mean ('mu') and standard deviation ('sigma') are unknown. If x-bar and s are the mean and standard deviation of the sample, which expression gives a 95% confidence interval for mu?
x-bar plus and minus 1.96*sigma/square-root(10)
x-bar plus and minus 1.96*sigma/square-root(10)
x-bar plus and minus 2.262*s/square-root(10)
x-bar plus and minus 2.228*s/square-root(10) |
x-bar plus and minus 2.262*s/square-root(9)
Solution :
Given that,
Point estimate = sample mean =
sample standard deviation = s
sample size = n = 10
Degrees of freedom = df = n - 1 = 9
t /2,df = 2.262
Margin of error = E = t/2,df * (s /n)
The 95% confidence interval estimate of the population mean is,
t/2,df * (s /n) = 2.262 * (s /10)
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