The coefficient of stability for the mean reflects the stability of the mean from a set of data. A "stable" mean is able to represent the potential means that might be seen on repetitive sampling.
Parameters:
(1) mean for the values
(2) standard deviation
(3) number of values in sampling
coefficient of stability =
= (standard deviation) / (SQRT(number of values)) / (mean of values) =
= (standard deviation) / (((SQRT(number of values)) * (mean of values)) =
= (CV) / (SQRT(number of values))
Interpretation:
• A coefficient of stability < 0.05 indicates that the mean for the data set is stable.
• A coefficient of stability >= 0.05 indicates that the mean for the data set is not stable.
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