Answer:
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.
From the information given, the correct interpretation of the confidence interval is given in option B.
A confidence interval is defined as the probability that a parameter will fall between a pair of values around the mean of the sample data.
In order words, the range of values around the statistic should contain the true value or representation of that statistic or population to the tune of 90% as in the case above.
Hence the correct interpretation of the confidence interval is given as:
"There is a 90% chance that the true value of the population proportion will fall between the lower bound and the upper bound." (Option B)
Learn more about Confidence Interval at:
https://brainly.com/question/15712887
