Given n=11, xbar= 14.49, s=1.8
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(a) Given a=0.01, t(0.005, df=n-1=10)=3.17 (check student t table)
So 99% CI is
xbar ± t*s/√n
--> 14.49 ± 3.17*1.8/sqrt(11)
--> (12.77, 16.21)
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(b) Given a=0.05, t(0.05, df=10)=1.81(check student t table)
So 95% lower-confidence bound is
xbar - t*s/√n
= 14.49 - 1.81*1.8/sqrt(11)
= 13.51
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(c) Given a=0.01, t(0.005, df=n-1=10)=3.17 (check student t table)
E=0.8
So n=(t*s/E)^2 = (3.17*1.8/0.8)^2 =50.87256
Take n=51
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(d) Given a=0.05, t(0.05, df=10)=1.81(check student t table)
(xbar + t*s/√n) -( xbar - t*s/√n)
--> (14.49 + 1.81*1.8/sqrt(n)) - (14.49 - 1.81*1.8/sqrt(n))
--> 2*1.81*1.8/sqrt(n) =1.5
--> n = (2*1.81*1.8/1.5)^2 = 18.87034
Take n=19
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