How large a sample should be taken if the population mean is to be estimated with 99% confidence to within $75? The population has a standard deviation of $893. (Round your answer up to the next whole number.)
You may need to use the appropriate table in Appendix B to answer this question.
Answer :
Given data :-
The population has a standard deviation = 893
S = 893
margin of error = 75
E = 75
Confidence interval = 99%
= 99/100
C = 0.99
Now we need to find out the How large a sample should be taken if the population n = ?
we know that
n = z(alpha/2)^2 S^2 / E^2
Where,
S = 893
E = 75
z(alpha/2) => alpha = 1-C
= 1-0.99
alpha = 0.01
z(alpha/2) = 0.01/2
z(alpha/2) = 0.005
by using the z normal table technology
z(alpha/2) = 2.5758
let,
n = z(alpha/2)^2 S^2 / E^2
=> n = ( 2.57582 * 8932)/752
=> n = ( 6.6347*797449)/5625
=> n = (5290834.88)/5625
=> n = 940.59
rounding up the answer
n = 941
the large random sample n = 941
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