![]() ![]() Please enter your values above, and then hit the calculate button. Your result will appear at the bottom of the page. Please enter your data into the fields below, with your sample 1 mean being the higher of your two means, select a confidence level (the calculator defaults to 95%), and then hit Calculate. (If you need to calculate means and standard deviations from sets of raw scores, you can do so using our descriptive statistics tools.) The calculation works on the assumption that the two population variances are equal (i.e., it uses a pooled standard deviation in order to calculate the standard error portion of the confidence interval calculation). ![]() ![]() To perform this calculation you need to know your two sample means, the number of items in your samples, and the standard deviations for your two samples. Please enter the necessary parameter values, and then click 'Calculate'. This calculator will compute the 99, 95, and 90 confidence intervals for the mean of a normal population, given the sample mean, the sample size, and the sample standard deviation. S (M 1 - M 2) = standard error = √(( s 2 p/ n 1) + ( s 2 p/ n 2)) Confidence Interval Calculator for the Population Mean. T = t statistic determined by confidence level ![]()
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