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 = 53.8.
,
watts
(b) Compute a 95% CI for μ when n = 100 and
x = 53.8.
,
watts
(c) Compute a 99% CI for μ when n = 100 and
x = 53.8.
,
watts
(d) Compute an 82% CI for μ when n = 100 and
x = 53.8.
, |
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 σ = 2.2
(a) 95% CI for μ when n = 100 and x = 53.8
the value of 95% confidence from z table is 1.96
confidence interval formula
=> x +/- z * σ/sqrt(n)
=> 53.8 +/- 1.96*2.2/sqrt(25)
=> (52.94 , 54.66)
(b) 95% CI for μ when n = 100 and x = 53.8
the value of 95% confidence from z table is 1.96
confidence interval formula
=> x +/- z * σ/sqrt(n)
=> 53.8 +/- 1.96*2.2/sqrt(100)
=> (53.37 , 54.23)
(c) 99% CI for μ when n = 100 and x = 53.8
the value of 99% confidence from z table is 2.58
confidence interval formula
=> x +/- z * σ/sqrt(n)
=> 53.8 +/- 2.58*2.2/sqrt(100)
=> (53.23 , 54.37)
(d) 82% CI for μ when n = 100 and x = 53.8
the value of 82% confidence from z table is 1.34
confidence interval formula
=> x +/- z * σ/sqrt(n)
=> 53.8 +/- 1.34*2.2/sqrt(100)
=> (53.51 , 54.09)
(e) here given that width is 1.0 and
the value of 99% confidence from z table is 2.58
formula
=> n = (2*z*σ/e)^2
=> n = (2*2.58*2.2/1.0)^2
=> n = 129