Question #149406
a. The probability of success on any trial of a binomial
experiment is 25%. Find the probability
that the proportion of successes in a sample of
500 is less than 22%.
b. Repeat part (a) with n = 800.
c. Repeat part (a) with n = 1,000.
1
Expert's answer
2020-12-15T08:51:21-0500

a. Find the probability of success that the proportion of success in a sample of 500 is less than 22% .

The probability of success for any trail of a binomial experiment is, p=0.25.

The sample size, n = 500

The probability of success that the proportion of success in a sample of 500 is less than 22% is,

P(Pˉ<0.22)=P(Pˉpp(1p)n<0.220.250.25(10.25)500)=P(Z<0.220.250.0194=p(Z<1.55)=0.0606P(\bar{P}<0.22)=P( \frac{\bar{P}-p}{\sqrt{\frac{p(1-p)}{n}}}<\frac{0.22-0.25}{\sqrt{\frac{0.25(1-0.25)}{500}}} ) \\ =P(Z<\frac{0.22-0.25}{0.0194} \\ =p(Z<-1.55) \\ = 0.0606

Therefore, the probability of success that the proportion of success in a sample of 500 is less than 22% is 0.0606.

b. Find the probability of success that the proportion of success in a sample of 800 is less than 22% .

The probability of success for any trail of a binomial experiment is, p=0.25.

The sample size, n=800

The probability of success that the proportion of success in a sample of 800 is less than 22% is,

P(Pˉ<0.22)=P(Pˉpp(1p)n<0.220.250.25(10.25)800)=P(Z<0.220.250.0153=p(Z<1.96)=0.0250P(\bar{P}<0.22)=P( \frac{\bar{P}-p}{\sqrt{\frac{p(1-p)}{n}}}<\frac{0.22-0.25}{\sqrt{\frac{0.25(1-0.25)}{800}}} ) \\ =P(Z<\frac{0.22-0.25}{0.0153} \\ =p(Z<-1.96) \\ = 0.0250

Therefore, the probability of success that the proportion of success in a sample of 800 is less than 22% is 0.0250.

c. Find the probability of success that the proportion of success in a sample of 1000 is less than 22%.

The probability of success for any trail of a binomial experiment is, p=0.25.

The sample size, n=1000

The probability of success that the proportion of success in a sample of 1000 is less than 22% is,

P(Pˉ<0.22)=P(Pˉpp(1p)n<0.220.250.25(10.25)1000)=P(Z<0.220.250.0137=p(Z<2.19)=0.0143P(\bar{P}<0.22)=P( \frac{\bar{P}-p}{\sqrt{\frac{p(1-p)}{n}}}<\frac{0.22-0.25}{\sqrt{\frac{0.25(1-0.25)}{1000}}} ) \\ =P(Z<\frac{0.22-0.25}{0.0137} \\ =p(Z<-2.19) \\ = 0.0143

Therefore, the probability of success that the proportion of success in a sample of 1000 is less than 22% is 0.0143.


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