Suppose human weights are normally distributed with mean 175 and standard deviation 36 pounds. A helicopter is evacuating people from a building surrounded by zombies, and this helicopter can fit 9 people and with a maximum weight of 1800 pounds, i.e., an average of 200 pounds per person. If 9 people are randomly chosen to be loaded on this helicopter, what is the probability that it can safely lift off (i.e., the average weight of a person in the helicopter is less than 200)?

Respuesta :

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]

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