The Wilcoxon test tests the null hypothesis two treatments applied to N individuals do not
differ significantly. It assumes that the differences between
the treatment results are meaningful.
See S. Siegel and N. J. Castellan, *Nonparametric
Statistics*, 2nd ed., 1988, pp. 87-95.

Be sure to CALL DFLT before calling COCHRANQ and to include the COMMON/BPRINT/ common block. The call is

CALL WILCOXON(N,A1,A2,ZVAL,IER) where N = the number of individuals (input) A1 = single precision array dimensioned A1(N) containing one set of measurements A2 = single precision array dimensioned A1(N) containing another set of measurements ZVAL = single precision real variable containing the calculated asymptotic normal statistic (output) IER = error return (=-3 input error,=0 only asymptotic test valid, =101 small sample test not significant, =100 small sample test significant)

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