Answer:
a) 0.537
b) 0.987
c) 0.524
Step-by-step explanation:
We are given the following information in the question:
We are given that the distribution of the taxis and takeoff times is a bell shaped distribution that is a normal distribution.
Formula:
[tex]z_{score} = \displaystyle\frac{x-\mu}{\sigma}[/tex]
Sample size, n = 37
The central limit theorem says that the sum of n measurement is approximately normal to [tex]n\mu[/tex] and [tex]\sigma \sqrt{n}[/tex]
[tex]\mu = 37\times 8.6 = 318.2\\\sigma\sqrt{n} = 3.2\times \sqrt{37} = 19.46[/tex]
a) P(takeoff time will be less than 320 minutes)
P(x < 320)
[tex]P( x < 320) = P( z < \displaystyle\frac{320 - 318.2}{19.46}) = P(z < 0.0924)[/tex]
Calculation the value from standard normal z table, we have,
[tex]P(x< 320) = 0.537 = 53.7\%[/tex]
b) P( takeoff time will be more than 275 minutes)
P(x > 275)
[tex]P( x > 275) = P( z > \displaystyle\frac{275 - 318.2}{19.46}) = P(z > -2.219)[/tex]
[tex]= 1 - P(z \leq -2.219)[/tex]
Calculation the value from standard normal z table, we have,
[tex]P(x > 275) = 1 - 0.013 = 0.987= 98.7\%[/tex]
c) P( takeoff time will be between 275 and 320 minutes)
[tex]P(275 \leq x \leq 320) = P(\displaystyle\frac{275 - 318.2}{19.46} \leq z \leq \displaystyle\frac{320 - 318.2}{19.46})\\\\=P(-2.219 \leq z \leq 0.0924)\\\\= P(z \leq 0.0924) - P(z < -2.219)\\= 0.537 - 0.013 = 0.524 = 52.4\%[/tex]
[tex]P(275 \leq x \leq 320) = 52.4\%[/tex]