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DIFFERENCE OF MADName:
where \( \tilde{x} \) is the median of the variable. This statistic is sometimes used as an alternative to the standard deviation. For the differeence of median absolute deviations, the median absolute deviation is computed for each of two samples then their difference is taken.
<SUBSET/EXCEPT/FOR qualification> where <y1> is the first response variable; <y2> is the first response variable; <par> is a parameter where the computed difference of the median absolute deviations is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET A = DIFFERENCE OF MAD Y1 Y2 SUBSET X > 1
SKIP 25 READ IRIS.DAT Y1 TO Y4 X . LET A = DIFFERENCE OF MAD Y1 Y2 TABULATE DIFFERENCE OF MAD Y1 Y2 X . XTIC OFFSET 0.2 0.2 X1LABEL GROUP ID Y1LABEL DIFFERENCE OF MAD CHAR X LINE BLANK DIFFERENCE OF MAD PLOT Y1 Y2 X CHAR X ALL LINE BLANK ALL BOOTSTRAP DIFFERENCE OF MAD PLOT Y1 Y2 XDataplot generated the following output. *************************************** ** LET A = DIFFERENCE OF MAD Y1 Y2 ** *************************************** THE COMPUTED VALUE OF THE CONSTANT A = 0.39999986E+00 ****************************************** ** TABULATE DIFFERENCE OF MAD Y1 Y2 X ** ****************************************** * Y1 AND Y2 X * DIFFERENCE OF MEDIAN ABSOLUTE ********************************************** 1.00000 * -0.500002E-01 2.00000 * 0.150000 3.00000 * 0.200000 GROUP-ID AND STATISTIC WRITTEN TO FILE DPST1F.DAT ![]()
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Date created: 03/27/2003 |