Which formula for calculating the upper bound of a confidence interval is correct? A) -t(s_difference) + (M_X - M_Y)_sample B) t(s_mean) + (M_X - M_Y)_population C) t(s_difference) + (M_X - M_Y)_sample D) -t(s_mean) + (M_X - M_Y)_population

Question

Quizplus · Accepted Answer

The formula for calculating the upper bound of a confidence interval for a difference in means is: Upper Bound = (point estimate) + (t-value x standard error) In this formula, the point estimate is the difference between the sample means (M_X - M_Y), the t-value is based on the desired level of confidence and degrees of freedom, and the standard error is calculated as s(difference)/sqrt(n), where s(difference) is the standard deviation of the difference between the two samples and n is the sample size. Therefore, option C is the correct formula for calculating the upper bound of a confidence interval for a difference in means.

Which Formula for Calculating the Upper Bound of a Confidence