Answer:
90 percent confidence interval = [72.674 ,77.326]
Explanation:
We are given that weight of a product is measured in pounds.
A random sample of 50 units is taken from a recent production. The sample yielded y bar = 75 lb, and we know that
= 100 lb.
The Pivotal quantity for 9% confidence interval is given by;
~ N(0,1)
where, Y bar = sample mean = 75
= population standard deviation = 10
n = sample size = 50
So, 90% confidence interval for population mean, is given by;
P(-1.6449 < N(0,1) < 1.6449) = 0.90
P(-1.6449 <
< 1.6449) = 0.90
P(-1.6449 *
<
< 1.6449 *
) = 0.90
P(Y bar - 1.6449 *
<
< Y bar + 1.6449 *
) = 0.90
90% confidence interval for
= [ Y bar - 1.6449 *
, Y bar + 1.6449 *
]
= [ 75 - 1.6449 *
, 75 + 1.6449 *
]
= [ 72.674 , 77.326 ]
Therefore, 90% confidence interval for population mean is [72.674 ,77.326] .