When a population is finite, the formula that determines the standard error of the mean o, needs to be adjusted. If N is the size of the population and n is the size of the N-n sample (wheren20.05N), then the standard error of the mean is o =D N-1 N-n is called the finite population correction factor. Use the finite The expression %3D N-1 population correction factor to construct the confidence interval for the population mean described below. c=0.99 x=24.4 o = 7.9 N= 800 n=81 The 99% confidence interval for the population mean is ( D (Round to two decimal places as needed.)

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When a population is finite, the formula that determines the standard error of the mean o, needs to be adjusted. If N is the size of the population and n is the size of the
N-n
. The expression
Vn VN-1
N-n
is called the finite population correction factor. Use the finite
sample (where n20.05N), then the standard error of the mean is o- =
N-1
population correction factor to construct the confidence interval for the population mean described below.
c =0.99
x=24.4
o = 7.9
N= 800 -
n=81
The 99% confidence interval for the population mean is ( ).
(Round to two decimal places as needed.)
Transcribed Image Text:When a population is finite, the formula that determines the standard error of the mean o, needs to be adjusted. If N is the size of the population and n is the size of the N-n . The expression Vn VN-1 N-n is called the finite population correction factor. Use the finite sample (where n20.05N), then the standard error of the mean is o- = N-1 population correction factor to construct the confidence interval for the population mean described below. c =0.99 x=24.4 o = 7.9 N= 800 - n=81 The 99% confidence interval for the population mean is ( ). (Round to two decimal places as needed.)
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