In: Statistics and Probability
A CI is desired for the true average stray-load loss μ (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with σ = 2.3. (Round your answers to two decimal places.)
(a) Compute a 95% CI for μ when n = 25 and x = 59.6.
,
watts
(b) Compute a 95% CI for μ when n = 100 and
x = 59.6.
,
watts
(c) Compute a 99% CI for μ when n = 100 and
x = 59.6.
,
watts
(d) Compute an 82% CI for μ when n = 100 and
x = 59.6.
,
watts
(e) How large must n be if the width of the 99% interval
for μ is to be 1.0? (Round your answer up to the nearest
whole number.)
n =
Solution :
Given that,
a) Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 2.3 / 25
)
= 0.90
At 95% confidence interval estimate of the population mean is,
± E
= 59.6 ± 0.90
= ( 58.70, 60.50 )
b) Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 2.3 / 100
)
= 0.45
At 95% confidence interval estimate of the population mean is,
± E
= 59.6 ± 0.45
= ( 59.15, 60.05 )
c) Z/2 = Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 2.3 / 100
)
= 0.59
At 99% confidence interval estimate of the population mean is,
± E
= 59.6 ± 0.59
= ( 59.01, 60.19 )
d) Z/2 = Z0.09 = 1.34
Margin of error = E = Z/2
* (
/n)
= 1.34 * ( 2.3 / 100
)
= 0.31
At 82% confidence interval estimate of the population mean is,
± E
= 59.6 ± 0.31
= ( 59.29, 59.91 )
e) margin of error = E = 1.0 / 2 = 0.5
Z/2 = Z0.005 = 2.576
sample size = n = [Z/2* / E] 2
n = [2.576 * 2.3 /0.5 ]2
n = 140.41
Sample size = n = 141