A production manager at a wall clock company wants to test their new wall clocks. The designer claims they have a mean life of 17 years with a standard deviation of 4 years. If the claim is true, in a sample of 48 wall clocks, what is the probability that the mean clock life would be greater than 18 years

Respuesta :

Answer:

Probability that the mean clock life would be greater than 18 years is 0.04182 .

Step-by-step explanation:

We are given that the designer claims they have a mean life of 17 years with a standard deviation of 4 years.

Let X bar = mean clock life

The z score probability distribution is given by;

             Z = [tex]\frac{Xbar - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] ~ N(0,1)

where,  [tex]\mu[/tex] = population mean life = 17 years

            [tex]\sigma[/tex] = standard deviation = 4 years

            n = sample of wall clocks = 48

So, the probability that the mean clock life would be greater than 18 years is given by, P(X bar > 18 years);

   P(X bar > 18) = P( [tex]\frac{Xbar - \mu}{\frac{\sigma}{\sqrt{n} } }[/tex] < [tex]\frac{18 - 17}{\frac{4}{\sqrt{48} } }[/tex] ) = P(Z > 1.73) = 1 - P(Z <= 1.73)

                                                                              = 1 - 0.95818 = 0.04182

Therefore, the probability that the mean clock life would be greater than 18 years is 0.04182 .