You want to calculate a 95% confidence interval (CI) for the difference between the means of two variables. The variables are from populations with normal distributions and those distributions have the same standard deviation (σ). To make your estimate you will take the same number of samples from each population, calculate the mean for each sample, calculate the difference between those sample means, and then add or subtract the term that defines the CI. If you want the width of the CI to be less than 2×σ, what is the minimum number of samples you should take from each sample?
. If you want the width of the CI to be less than 2×σ, what is the minimum number of samples you should take from each sample
we have to find minimum number of sample is given as
here value of Z is 1.96 for 95% confidence interval
Where margin of error is the half the width of confidence interval
here half the width will be
approximate 4 samples are required
Confidence interval for difference of means is given as by below formula
because it has been given that
S1=S2=S
n1=n2=n
so
Where value of Z is 1.96 for 95% confidence interval
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