Answer:
The probability that the proportion of campers who reply yes is between 40% and 50% is 0.8444.
Step-by-step explanation:
According to the Central limit theorem, if a large sample (n > 30) is selected from an unknown population then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this distribution is:
[tex]\mu_{\hat p}= p=0.45[/tex]
The standard deviation of this distribution is:
[tex]\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=0.0352[/tex]
Compute the probability that the proportion of campers who reply yes is between 40% and 50% as follows:
[tex]P(0.40<p<0.50)=P(\frac{0.40-0.45}{0.0352}<\frac{p-\mu_{\hat p}}{\sigma_{\hat p}}<\frac{0.50-0.45}{0.0352})\\=P(-1.42<Z<1.42)\\=P(Z<1.42)-P(Z<-1.42)\\=P(Z<1.42)-1+P(Z<1.42)\\=2P(Z<1.42)-1\\=(2\times0.9222)-1\\=0.8444[/tex]
Thus, the probability that the proportion of campers who reply yes is between 40% and 50% is 0.8444.