Answer: (C) 0.1591
Step-by-step explanation:
Given : A manufacturer of radial tires for automobiles has extensive data to support the fact that the lifetime of their tires follows a normal distribution with
[tex]\mu=42,100\text{ miles}[/tex]
[tex]\sigma=2,510\text{ miles}[/tex]
Let x be the random variable that represents the lifetime of the tires .
z-score : [tex]z=\dfrac{x-\mu}{\sigma}[/tex]
For x= 44,500 miles
[tex]z=\dfrac{44500-42100}{2510}\approx0.96[/tex]
For x= 48,000 miles
[tex]z=\dfrac{48000-42100}{2510}\approx2.35[/tex]
Using the standard normal distribution table , we have
The p-value : [tex]P(44500<x<48000)=P(0.96<z<2.35)[/tex]
[tex]P(z<2.35)-P(z<0.96)= 0.9906132-0.8314724=0.1591408\approx0.1591[/tex]
Hence, the probability that a randomly selected tire will have a lifetime of between 44,500 miles and 48,000 miles = 0.1591