Answer:
a) P=0.998
b) P=0.879
c) P=0.268
Step-by-step explanation:
The mean charges per passenger are:
[tex]\mu=59+39=98[/tex]
The standard deviation is known to be σ=$25.
If the sample size is 60, we have to calculate:
a) the probability the sample mean will be within $10 of the population mean cost per flight.
This can be calculated from the z-value for a margin or error of 10 from the mean:
[tex]z=\dfrac{X-\mu}{\sigma/\sqrt{n}}=\dfrac{10}{25/\sqrt{60}}=\dfrac{10}{3.2275}=3.1[/tex]
[tex]P(|X-\mu|<10)=P(|z|<3.1)=0.998[/tex]
b) the probability the sample mean will be within $5 of the population mean cost per flight.
This can be calculated from the z-value for a margin or error of 5 from the mean:
[tex]z=\dfrac{X-\mu}{\sigma/\sqrt{n}}=\dfrac{5}{25/\sqrt{60}}=\dfrac{5}{3.2275}=1.55[/tex]
[tex]P(|X-\mu|<5)=P(|z|<1.55)=0.879[/tex]
c) the probability the sample mean will exceed $100
Again we will calculate the z-score for X=100.
[tex]z=\dfrac{X-\mu}{\sigma/\sqrt{n}}=\dfrac{100-98}{25/\sqrt{60}}=\dfrac{2}{3.2275}=0.62[/tex]
[tex]P(X>100)=P(z>0.62)=0.268[/tex]