Answer:
Population Mean = 2.0
Population Standard deviation = 0.03
Step-by-step explanation:
We are given that the inspector selects simple random samples of 30 finished products and computes the sample mean product weight.
Also, test results over a long period of time show that 5% of the values are over 2.1 pounds and 5% are under 1.9 pounds.
Now, mean of the population is given the average of two extreme boundaries because mean lies exactly in the middle of the distribution.
So, Mean, [tex]\mu[/tex] = [tex]\frac{1.9+2.1}{2}[/tex] = 2.0
Therefore, mean for the population of products produced with this process is 2.
Since, we are given that 5% of the values are under 1.9 pounds so we will calculate the z score value corresponding to a probability of 5% i.e.
z = -1.6449 {from z % table}
We know that z formula is given by ;
[tex]Z = \frac{Xbar - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] ~ N(0,1)
-1.6449 = [tex]\frac{1.9 - 2.0}{\frac{\sigma}{\sqrt{n} } }[/tex] ⇒ [tex]\frac{\sigma}{\sqrt{n} } = \frac{-0.1}{-1.6449}[/tex]
⇒ [tex]\sigma =[/tex] 0.0608 * [tex]\sqrt{30}[/tex] {as sample size is given 30}
⇒ [tex]\sigma[/tex] = 0.03 .
Therefore, Standard deviation for the population of products produced with this process is 0.0333.