Respuesta :
Answer:
99% confidence interval for the given specimen is [3.4125 , 3.4155].
Step-by-step explanation:
We are given that a laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighing. Scale readings in repeated weighing are Normally distributed with mean equal to the true weight of the specimen.
Three weighing of a specimen on this scale give 3.412, 3.416, and 3.414 g.
Firstly, the pivotal quantity for 99% confidence interval for the true mean specimen is given by;
P.Q. = [tex]\frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] ~ N(0,1)
where, [tex]\bar X[/tex] = sample mean weighing of specimen = [tex]\frac{3.412+3.416+3.414}{3}[/tex] = 3.414 g
[tex]\sigma[/tex] = population standard deviation = 0.001 g
n = sample of specimen = 3
[tex]\mu[/tex] = population mean
Here for constructing 99% confidence interval we have used z statistics because we know about population standard deviation (sigma).
So, 99% confidence interval for the population mean, [tex]\mu[/tex] is ;
P(-2.5758 < N(0,1) < 2.5758) = 0.99 {As the critical value of z at 0.5% level
of significance are -2.5758 & 2.5758}
P(-2.5758 < [tex]\frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] < 2.5758) = 0.99
P( [tex]-2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]{\bar X - \mu}[/tex] < [tex]2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ) = 0.99
P( [tex]\bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]\mu[/tex] < [tex]\bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ) = 0.99
99% confidence interval for [tex]\mu[/tex] = [ [tex]\bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] , [tex]\bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } }[/tex] ]
= [ [tex]3.414-2.5758 \times {\frac{0.001}{\sqrt{3} } }[/tex] , [tex]3.414+2.5758 \times {\frac{0.001}{\sqrt{3} } }[/tex] ]
= [3.4125 , 3.4155]
Therefore, 99% confidence interval for this specimen is [3.4125 , 3.4155].