It is always good to have as narrow a confidence interval as possible, because a C.I. is an estimate of a parameter, and a narrower C.I. is a more precise estimate.  In lecture we learned three factors that affect the width of a C.I.  With all that in mind, which C.I. below has the combination that would make it the NARROWEST out of all four options?  (Hint: compare the answer options to each other two at a time, and do a process of elimination). Group of answer choices A C.I. with n=100, 95% level of confidence, s2 = 32.4 (large variance) A C.I. with n=100, 99% level of confidence, s2 = 6.1 (small variance) A C.I. with n=150, 99% level of confidence, s2 = 32.4 (large variance) A C.I. with n=150, 95% level of confidence, s2 = 6.1 (small variance)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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It is always good to have as narrow a confidence interval as possible, because a C.I. is an estimate of a parameter, and a narrower C.I. is a more precise estimate.  In lecture we learned three factors that affect the width of a C.I.  With all that in mind, which C.I. below has the combination that would make it the NARROWEST out of all four options? 

(Hint: compare the answer options to each other two at a time, and do a process of elimination).

Group of answer choices
A C.I. with n=100, 95% level of confidence, s2 = 32.4 (large variance)
A C.I. with n=100, 99% level of confidence, s2 = 6.1 (small variance)
A C.I. with n=150, 99% level of confidence, s2 = 32.4 (large variance)
A C.I. with n=150, 95% level of confidence, s2 = 6.1 (small variance)
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