SECTION 15.20 WILCOXON TEST

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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