A recent OU census found that a proportion of 0.80 of all students have drank alcohol at least once. If a sampling distribution of size n = 250 was created from the population of all OU students, what would be the standard deviation of this sampling distribution? A recent OU census found that a proportion of 0.80 of all students have drank alcohol at least once. If a sampling distribution of size n = 250 was created from the population of all OU students, what would be the standard deviation of this sampling distribution? .05 .025 .08 0.0007 Question at position 25 25 Multiple Choice 2.5 points Question at position 25 Which statement is not true about confidence intervals? Which statement is not true about confidence intervals? A 95% confidence interval is an interval of values computed from sample data that is likely to include the true population value. A 80% confidence interval is smaller than a 99.7% confidence interval, but also provides a more precise estimate of the population parameter. A 95% confidence interval of .30 to .50 means that we are 95% confident that the population proportion lies between .30 and .50. An approximate formula for a 99.7% confidence interval is the sample statistics +/- 2(standard error of the statistic)