Answer: 0.71221
Step-by-step explanation:
We know that for binomial distribution :-
[tex]\mu=np\ \ ;\ \sigma=\sqrt{np(1-p)}[/tex], where p is the proportion of success in each trial and n is the sample size.
Given : p=0.80 ; n=20
Then, [tex]\mu=20(0.8)=16\ \ ;\ \sigma=\sqrt{20(0.8)(0.2)}=1.79[/tex]
Let X be the binomial variable.
z-score : [tex]z=\dfrac{x-\mu}{\sigma}[/tex]
For x=9
[tex]z=\dfrac{9-16}{1.79}=-3.91[/tex]
For x=17
[tex]z=\dfrac{17-16}{1.79}=0.56[/tex]
Then, the probability that more than 9 but less than 17 of the hotels in the sample is given by :-
[tex]P(9<X<17)=P(-3.91<z<0.56)=P(z<0.56)-P(z<-3.91)\\\\=0.7122603-0.0000461=0.7122142\approx0.71221[/tex]
Hence, the probability that more than 9 but less than 17 of the hotels in the sample = 0.71221