Write a statement that correctly interprets the confidence interval. Choose the correct answer below. A. One has 90 % confidence that the sample proportion is equal to the population proportion. B. There is a 90 % chance that the true value of the population proportion will fall between the lower bound and the upper bound. C. One has 90 % confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion. D. 90 % of sample proportions will fall between the lower bound and the upper bound.

B. There is a 90 % chance that the true value of the population proportion will fall between the lower bound and the upper bound.

Step-by-step explanation:

A. One has 90 % confidence that the sample proportion is equal to the population proportion.

Confidence interval gives an interval estimate, not an equality

B. There is a 90 % chance that the true value of the population proportion will fall between the lower bound and the upper bound.

Ture.

C. One has 90 % confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.

Also true but One has 90 % confidence is not good interpretation.

D. 90 % of sample proportions will fall between the lower bound and the upper bound.

Lower bound and upper bound is given to estimate population proportion.