Suppose only 75% of all drivers in a certain state regularly wear a seat belt. A random sample of 500 drivers is selected. What is the probability that a. Between 360 and 400 (inclusive) of the drivers in the sample regularly wear a seat belt? b. Fewer than 400 of those in the sample regularly wear a seat belt? Devore, Jay L.. Probability and Statistics for Engineering and the Sciences (p. 169). Cengage Learning. Kindle Edition.

Respuesta :

Answer: a.   0.93449

b. 0.99506

Step-by-step explanation:

Given : The proportion of all drivers in a certain state regularly wear a seat belt : p=0.75

Sample size : n=500

Let x be the random variable that represents the number of drivers in a certain state regularly wear a seat belt.

Then , [tex]\mu=np=(500)(0.75)=375[/tex]

[tex]\sigma=\sqrt{np(1-p)}=\sqrt{500)(0.75)(0.25)}=9.68[/tex]

a.  The probability that between 360 and 400 (inclusive) of the drivers in the sample regularly wear a seat belt :

[tex]P(360<x<400)=P(\dfrac{360-375}{9.68}<z<\dfrac{400-375}{9.68})\ \ [\because z=\dfrac{x-\mu}{\sigma}]\\\\=P(-1.55<z<2.58)\\\\=P(z<2.58)-P(z<-1.55)\\\\=P(z<2.58)-(1-P(z<1.55))\ \ [\because P(Z<-z)=1-P(Z<z)][/tex]

 

[tex]=0.99506-(1- 0.9394292)\\\\=0.9344892\approx0.93449[/tex]

∴ The probability that between 360 and 400 (inclusive) of the drivers in the sample regularly wear a seat belt= 0.93449

b. The probability that fewer than 400 of those in the sample regularly wear a seat belt :-

[tex]P(x<400)=P(\dfrac{x-\mu}{\sigma}<\dfrac{400-375}{9.68})\\\\=P(z<2.58)=0.99506[/tex]

∴ The probability that fewer than 400 of those in the sample regularly wear a seat belt = 0.99506