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A data point can be [http://www.statsoft.com/textbook/glose.html
classified as extreme] 		These percentiles may be [http://www.statsoft.com/textbook/glose.html used] to classify a data point as extreme since outliers are defined as either

> 75th percentile + 1.5 * (75th perc - 25th perc)

or

< 25th percentile - 1.5 * (75th perc - 25th perc)
 

Percentiles of exponential data

If the data follows an exponential distribution (test this by using Kolmogorov-Smirnov test in SPSS and choosing the exponential option). Then

- (Mean score) (LN(1- PERC/100 )) gives the threshold of the PERC% percentile.

This follows from

P(X < x) = 1 – EXP(-R*x) where rate, R, is estimated from the sample data by 1/mean.

These percentiles may be [http://www.statsoft.com/textbook/glose.html used] to classify a data point as extreme since outliers are defined as either

> 75th percentile + 1.5 * (75th perc - 25th perc)

or

< 25th percentile - 1.5 * (75th perc - 25th perc)

None: FAQ/percentile (last edited 2013-03-08 10:17:24 by localhost)