Which statement is not true about confidence intervals?
A) A confidence interval is an interval of values computed from sample data that is likely to include the true population value.
B) An approximate formula for a 95% confidence interval is sample estimate $\pm$margin of error.
C) A confidence interval between 20% and 40% means that the population proportion lies between 20% and 40%.
D) A 99% confidence interval procedure has a higher probability of producing intervals that will include the population parameter than a 95% confidence interval procedure.

Question

Quizplus · Accepted Answer

A confidence interval provides a range of values that is likely to include the population parameter with a certain level of confidence, but it does not guarantee that the true population proportion lies within this interval for any specific sample. It means that we are 95% (or 99%, depending on the confidence level) confident that the true population parameter lies within this range, but it does not provide a certainty for any given interval.

Which Statement Is Not True About Confidence Intervals? A) a Confidence

Which Statement Is Not True About Confidence Intervals?
A) a Confidence