Answer:
[tex] P(\bar X> 32500)[/tex]
And for this case we can use the z score formula given by:
[tex] z =\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
And replacing the info given we got:
[tex] z =\frac{32500-32000}{\frac{3000}{\sqrt{100}}}= 1.67[/tex]
And for this case we can find the probability with the normal standard table using the complement rule and we got:
[tex] P(z> 1.67) = 1-P(z<1.67) = 1-0.953 = 0.047[/tex]
Step-by-step explanation:
Let X the random variable that represent the salaries of Pet Detectives of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(32000,3000)[/tex]
Where [tex]\mu=32000[/tex] and [tex]\sigma=3000[/tex]
We select a sample size of n =100 Pet Detectives and we want to find the following probability:
[tex] P(\bar X> 32500)[/tex]
And for this case we can use the z score formula given by:
[tex] z =\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
And replacing the info given we got:
[tex] z =\frac{32500-32000}{\frac{3000}{\sqrt{100}}}= 1.67[/tex]
And for this case we can find the probability with the normal standard table using the complement rule and we got:
[tex] P(z> 1.67) = 1-P(z<1.67) = 1-0.953 = 0.047[/tex]