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 = 2.2. (Round your answers to two decimal places.)
(a) Compute a 95% CI for μ when n = 25 and x = 56.7.
(answer,answer) watts
(b) Compute a 95% CI for μ when n = 100 and x = 56.7.
(answer,answer) watts
(c) Compute a 99% CI for μ when n = 100 and x = 56.7.
(answer,answer) watts
(d) Compute an 82% CI for μ when n = 100 and x = 56.7.
(answer,answer) 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.)
Solution :
Given that,
a) Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 2.2 / 25
)
= 0.86
At 95% confidence interval estimate of the population mean is,
- E <
<
+ E
56.7 - 0.86 < < 56.7 + 0.86
( 55.84 <
< 57.56 )
b) Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 2.2 / 100)
= 0.43
At 95% confidence interval estimate of the population mean is,
- E <
<
+ E
56.7 - 0.43 < < 56.7 + 0.43
( 56.27 <
< 57.13 )
c) Z/2 = Z0.005 = 2.576
Margin of error = E = Z/2
* (
/n)
= 2.576 * ( 2.2 / 100)
= 0.57
At 99% confidence interval estimate of the population mean is,
- E <
<
+ E
56.7 - 0.57 < < 56.7 + 0.57
( 56.13 <
< 57.27)
d) Z/2 = Z0.09 = 1.34
Margin of error = E = Z/2
* (
/n)
= 1.34 * ( 2.2 / 100)
= 0.29
At 82% confidence interval estimate of the population mean is,
- E <
<
+ E
56.7 - 0.29 < < 56.7 + 0.29
( 56.41 <
< 56.99)
e) E = 1.0
Z/2 = Z0.025 = 1.96
sample size = n = [Z/2* / E] 2
n = [2.576 * 2.2 / 1.0 ]2
n = 32.11
Sample size = n = 33