The standard deviation of the sampling distribution of p 1 - p 2 is the square root of the sum of (p 1 )(1-p 1 ) divided by n 1 and (p 2 )(1-p 2 ) divided by n 2 as long as each sample is no more than 10% of its population.
ConditionsRandom (both samples must be random), 10% (both samples less than 10% of respective population), Large Counts (for both samples individually)
Calculator 2-PropZInterval InterpretationWe are __% confident that the interval from __ to __ captures the true difference of [p 1 ] and [p 2 ]
Point Estimate Formula Critical Value Formula (Z*) invNorm(__%/2 + 0.5) Standard Deviation Formula the square root of the sum of (p 1 )(1-p 1 ) divided by n 1 and (p 2 )(1-p 2 ) divided by n 2 Confidence Interval Formula Point Estimate +/- Critical Value * Standard DeviationWhen the population distributions are normal, the sampling distribution of x 1 - x 2 is approximately normal. Also normal, if both sample sizes are greater than 30 by CLT
If both samples are less than 10% of respective populations, the formula for standard deviation is the square root of the sum of σ1 2 / n 1 and σ2 2 / n 2
ConditionsRandom (both samples are independent and random or from two groups in a randomized experiment), 10% (both), and Normal/Large (population distributions are normal or sample size greater than 30)
Calculator Interpretation of a Confidence LevelIf we take many samples of size _ of _ and of _ of _ and find the __% confidence interval for each sample, __% of the confidence intervals will capture the difference in the mean number of ____.