Answer:
[tex]P(\bar X <200)=P(Z<\frac{200-175}{\frac{36}{\sqrt{9}}}=2.083)[/tex]
And using a calculator, excel or the normal standard table we have that:
[tex]P(Z<2.083)=0.981[/tex]
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
[tex]X \sim N(175,36)[/tex]
Where [tex]\mu=175[/tex] and [tex]\sigma=36[/tex]
They select a sample size of n=9 people.The distribution for the sample mean [tex]\bar X[/tex] is given by:
[tex]\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})[/tex]
And we want to find this probability:
[tex] P(\bar X <200)[/tex]
In order to the helicopter can safely lift off. We can use the z score formula given by:
[tex] z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
[tex]P(\bar X <200)=P(Z<\frac{200-175}{\frac{36}{\sqrt{9}}}=2.083)[/tex]
And using a calculator, excel or the normal standard table we have that:
[tex]P(Z<2.083)=0.981[/tex]