Suppose that an airline uses a seat width of 16.5 in. Assume men have hip breadths that are normally distributed with a mean of 14.4 in. and a standard deviation of 1 in. Complete parts​ (a) through​ (c) below. ​(a) Find the probability that if an individual man is randomly​ selected, his hip breadth will be greater than 16.5 in. The probability is 0.0179. ​(Round to four decimal places as​ needed.) ​(b) If a plane is filled with 123 randomly selected​ men, find the probability that these men have a mean hip breadth greater than 16.5 in.

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Answer:

a) 0.018

b) 0            

Step-by-step explanation:

We are given the following information in the question:

Mean, μ =  14.4 in

Standard Deviation, σ = 1 in

We are given that the distribution of breadths is a bell shaped distribution that is a normal distribution.

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]

a) P(breadth will be greater than 16.5 in)

P(x > 16.5)

[tex]P( x > 16.5) = P( z > \displaystyle\frac{16.5 - 14.4}{1}) = P(z > 2.1)[/tex]

[tex]= 1 - P(z \leq 2.1)[/tex]

Calculation the value from standard normal z table, we have,  

[tex]P(x > 16.5) = 1 - 0.982 = 0.018 = 1.8\%[/tex]

0.018 is the probability that if an individual man is randomly​ selected, his hip breadth will be greater than 16.5 in.

b) P( with 123 randomly selected​ men, these men have a mean hip breadth greater than 16.5 in)

Formula:

[tex]z_{score} = \displaystyle\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}[/tex]  

P(x > 16.5)  

[tex]P( x > 16.5) = P( z > \displaystyle\frac{16.5-14.4}{\frac{1}{\sqrt{123}}}) = P(z > 23.29)[/tex]  

[tex]= 1 - P(z \leq 23.29)[/tex]

Calculation the value from standard normal z table, we have,  

[tex]P(x > 16.5) = 1 - 1 = 0[/tex]

There is 0 probability that 123 randomly selected men have a mean hip breadth greater than 16.5 in

The probability that if an individual man is randomly​ selected, his hip breadth will be greater than 16.5 in. is 0.0179.

What is a Z-table?

A z-table also known as the standard normal distribution table, helps us to know the percentage of values that are below (or to the left of the Distribution) a z-score in the standard normal distribution.

As the distribution is normally distributed, with a mean of 14.4 In., while the standard deviation is 1 inch. Therefore,

A.) The probability that if an individual man is randomly​ selected, his hip breadth will be greater than 16.5 in.

[tex]\begin{aligned}P(X > 16.5)&=P(z > 16.5)\\\\&=1-P(z < 16.5)\\\\&=1-P(\dfrac{16.5-\mu}{\sigma})\\\\&=1-P(\dfrac{16.5-14.4}{1})\\\\&=1-0.9821\\\\&=0.0179\end{aligned}[/tex]

Hence, the probability that if an individual man is randomly​ selected, his hip breadth will be greater than 16.5 in. is 0.0179.

B.)  The probability that 123 men have a mean hip breadth greater than 16.5 in.

[tex]\begin{aligned}P(X > 16.5) &=P(z > \dfrac{16.5-14.4}{\frac{1}{\sqrt{123}}})\\&=P(z > 23.29)\\\\&=1-P(z\leq 23.29)\\\\&=1-1\\\\&=0\end{aligned}[/tex]

Hence, the probability that 123 men have a mean hip breadth greater than 16.5 in. is 0.

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