Prostate Data, correlation trend test, Ridit scores  
Cochran-Mantel-Haenszel Statistics for  by  

                 AltHypothesis  Chisq Df    Prob
cor        Nonzero correlation 1.8686  1 0.17163
rmeans  Row mean scores differ 6.0438  3 0.10950
cmeans  Col mean scores differ 1.8686  1 0.17163
general    General association 6.0438  3 0.10950


 Prostate Data, Cochran-Armitage test of trend  

	Chi-squared Test for Trend in Proportions

data:  temp[, 1] out of temp[, 1] + temp[, 2] ,
 using scores: 26.5 79 132.5 187
X-squared = 1.8774, df = 1, p-value = 0.1706

               lc
rdc             Death Live
  Black defend.    17  149
  White defend.    19  141

	Pearson's Chi-squared test with Yates' continuity
	correction

data:  m
X-squared = 0.086343, df = 1, p-value = 0.7689

, , rvc = Black victim

               lc
rdc             Death Live
  Black defend.     6   97
  White defend.     0    9

, , rvc = White victim

               lc
rdc             Death Live
  Black defend.    11   52
  White defend.    19  132


	Mantel-Haenszel chi-squared test without continuity
	correction

data:  m
Mantel-Haenszel X-squared = 1.2097, df = 1, p-value = 0.2714
alternative hypothesis: true common odds ratio is not equal to 1
95 percent confidence interval:
 0.7096435 3.4914549
sample estimates:
common odds ratio 
         1.574067 


	Mantel-Haenszel chi-squared test with continuity correction

data:  m
Mantel-Haenszel X-squared = 0.79633, df = 1, p-value =
0.3722
alternative hypothesis: true common odds ratio is not equal to 1
95 percent confidence interval:
 0.7096435 3.4914549
sample estimates:
common odds ratio 
         1.574067 


 Death Penalty Data  
[1]  0.60000000  0.60000000  0.40000000  0.40000000 15.00000000
[6]  0.05106820  0.05612608
[1]  0.60000000  0.60000000  0.40000000  0.40000000 18.00000000
[6]  0.04856822  0.05201003
[1]  0.60000000  0.60000000  0.40000000  0.40000000 10.00000000
[6]  0.04882666  0.06061763
[1]  0.6000000  0.4000000  0.4000000  0.2286000 15.0000000
[6]  0.3783741  0.3074128