Answer: 99.51%
Step-by-step explanation:
Given : A survey found that women's heights are normally distributed.
Population mean : [tex]\mu =63.2 \text{ inches}[/tex]
Standard deviation: [tex]\sigma= 2.4\text{ inches}[/tex]
Minimum height = 4ft. 9 in.=[tex]4\times12+9\text{ in.}=57\text{ in.}[/tex]
Maximum height = 6ft. 2 in.=[tex]6\times12+2\text{ in.}=74\text{ in.}[/tex]
Let x be the random variable that represent the women's height.
z-score : [tex]z=\dfrac{x-\mu}{\sigma}[/tex]
For x=57, we have
[tex]z=\dfrac{57-63.2}{2.4}\approx-2.58[/tex]
For x=74, we have
[tex]z=\dfrac{74-63.2}{2.4}\approx4.5[/tex]
Now, by using the standard normal distribution table, we have
The probability of women meeting the height requirement :-
[tex]P(-2.58<z<4.5)=P(z<4.5)-P(z<-2.58)\\\\= 0.9999966- 0.00494=0.9950566\approx0.9951=99.51\%[/tex]
Hence, the percentage of women meeting the height requirement = 99.51%