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This is an interesting application of statistics where you can estimate the variance of you sample based solely on the extremes of the sample. If you want to estimate the standard deviation the traditional way look here. | |
R is the sample range or the maximum value of your sample minus the minimum value. | |
W=R/σ is the "standardized range". E[W] is the expected value or mean of W and is a function only of the # of samples. | |
This analysis assumes the random variable is normal (i.e, has a gaussian distribution). | |
Source of E[W] values is this table, which was provided to me by Dave L. Johnson of Titan, PSD. | |
From the table cited above, you can also calculate the standard deviation of W, which tells you how good an estimate of σ you are making. You can also figure out the probability that R is less than some number. |
Copyright ©2004-2005 Raymond J. Allen