Question: Explain what is wrong, if anything, with the following statement: Based on the survey data, a 90% confidence interval for the sample proportion is from

Explain what is wrong, if anything, with the following statement: Based on the survey data, a 90% confidence interval for the sample proportion is from 0.095 to 0.117. Group of answer choices There is nothing wrong with the statement. A confidence interval is computed for a population quantity, but the given interval is said to be for a sample quantity. Confidence intervals are computed for means, not proportions. The values given in the confidence interval have been computed incorrectly. The given confidence interval is a 95% interval, not a 90% interval as claimed

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