Assuming that the population is normally distributed, construct a 99% confidence interval for the population mean, based on the following sample size of n = 6. 1, 2, 3, 4, 5, and 24 Change the number 24 to 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval. . . . Find a 99% confidence interval for the population mean, using the formula or calculator. HS (Round to two decimal places as needed.) Change the number 24 to 6. Find a 99% confidence interval for the population mean, using the formula or calculator. SHE (Round to two decimal places as needed.) What is the effect of an outlier on the confidence interval? O A. The presence of an outlier in the original data increases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval. O B. The presence of an outlier in the original data decreases the value of the sample mean and greatly decreases the sample standard deviation, narrowing the confidence interval. O C. The presence of an outlier in the original data increases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval. O D. The presence of an outlier in the original data decreases the value of the sample mean and greatly inflates the sample standard deviation, widening the confidence interval