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Let's say the numbers are "a" and "b"
thus
set the derivative to 0, and check the critical points, there's only one anyway
and do a first-derivative test, to see if it's a maximum
thus
set the derivative to 0, and check the critical points, there's only one anyway
and do a first-derivative test, to see if it's a maximum
The estimated standard error for the sample mean difference is 2.5 .
According to the question
A repeated-measures study comparing two treatments
n = 4
MD(mean difference) = 2
SS (sum of square) = 75
Now,
error for the sample
Formula for standard error
by substituting the value
S² = 25
S = 5 (s is never negative)
Standard error of the estimate for the sample mean difference
As
The standard error of the estimate is the estimation of the accuracy of any predictions.
The formula for standard error of the mean difference
standard error of the mean difference =
standard error of the mean difference =
standard error of the mean difference = 2.5
Hence, the estimated standard error for the sample mean difference is 2.5 .
To know more about estimated standard error here:
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