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ISO 13528 ZSCOREName:
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with The ISO 13528 standard for proficiency testing defines the following z-score
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with Xref and
Determing an assigned value is discussed on pages 5-10 of the
standard. Determining a value for
Since there are a mumber of different methods for determining
Xref and
The ISO 13528 standard recommends that z-scores with an absolute value greater than 3 should be considered an "action signal" and those with an absolute value greater than 2 should be considered a "warning signal".
<SUBSET/EXCEPT/FOR qualification> where <x> is the response variable; <xref> is a parameter that defines the assigned value; <sigma> is a parameter that defines the assigned value; <y> is a variable where the z-score values are stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
. Note: this example is just meant to demostrate the . mechanics of the command. This is not in fact . proficiency data, but it can be used to demonstrate . how to use the command. . skip 25 read gear.dat y x . let xref = 1. let sigma = sd y . let yz = iso 13528 zscore y xref sigma . set write decimals 3 print x y yzThe following output is generated. --------------------------------------------- X Y YZ --------------------------------------------- 1.000 1.006 0.955 1.000 0.996 -0.637 1.000 0.998 -0.318 1.000 1.000 0.000 1.000 0.992 -1.274 1.000 0.993 -1.114 1.000 1.002 0.318 1.000 0.999 -0.159 1.000 0.994 -0.955 1.000 1.000 0.000 2.000 0.998 -0.318 2.000 1.006 0.955 2.000 1.000 0.000 2.000 1.002 0.318 2.000 0.997 -0.477 2.000 0.998 -0.318 2.000 0.996 -0.637 2.000 1.000 0.000 2.000 1.006 0.955 2.000 0.988 -1.911 3.000 0.991 -1.433 3.000 0.987 -2.070 3.000 0.997 -0.477 3.000 0.999 -0.159 3.000 0.995 -0.796 3.000 0.994 -0.955 3.000 1.000 0.000 3.000 0.999 -0.159 3.000 0.996 -0.637 3.000 0.996 -0.637 4.000 1.004 0.796 4.000 1.002 0.318 4.000 0.994 -0.955 4.000 1.000 0.000 4.000 0.995 -0.796 4.000 0.994 -0.955 4.000 0.998 -0.318 4.000 0.996 -0.637 4.000 1.002 0.318 4.000 0.996 -0.637 5.000 0.998 -0.318 5.000 0.998 -0.318 5.000 0.982 -2.866 5.000 0.990 -1.592 5.000 1.002 0.318 5.000 0.984 -2.548 5.000 0.996 -0.637 5.000 0.993 -1.114 5.000 0.980 -3.185 5.000 0.996 -0.637 6.000 1.008 1.433 6.000 1.012 2.070 6.000 1.008 1.433 6.000 0.997 -0.477 6.000 0.988 -1.911 6.000 1.002 0.318 6.000 0.995 -0.796 6.000 0.998 -0.318 6.000 0.981 -3.026 6.000 0.996 -0.637 7.000 0.990 -1.592 7.000 1.004 0.637 7.000 0.996 -0.637 7.000 1.000 0.159 7.000 0.998 -0.318 7.000 1.000 0.000 7.000 1.018 2.866 7.000 1.010 1.592 7.000 0.996 -0.637 7.000 1.002 0.318 8.000 0.998 -0.318 8.000 1.000 0.000 8.000 1.006 0.955 8.000 1.000 0.000 8.000 1.002 0.318 8.000 0.996 -0.637 8.000 0.998 -0.318 8.000 0.996 -0.637 8.000 1.002 0.318 8.000 1.006 0.955 9.000 1.002 0.318 9.000 0.998 -0.318 9.000 0.996 -0.637 9.000 0.995 -0.796 9.000 0.996 -0.637 9.000 1.004 0.637 9.000 1.004 0.637 9.000 0.998 -0.318 9.000 0.999 -0.159 9.000 0.991 -1.433 10.000 0.991 -1.433 10.000 0.995 -0.796 10.000 0.984 -2.548 10.000 0.994 -0.955 10.000 0.997 -0.477 10.000 0.997 -0.477 10.000 0.991 -1.433 10.000 0.998 -0.318 10.000 1.004 0.637 10.000 0.997 -0.477
Date created: 01/27/2012 |