ANOVA summary of the impact of the significance levels on the cost p=0.050 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 7.34 2.45 0.2732 0.8447 Residuals 196 1756.47 8.96 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 1.00 1.00 - 0.1 0.53 0.53 0.48 P value adjustment method: holm p=0.075 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 32.12 10.71 1.6515 0.1789 Residuals 196 1270.50 6.48 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.0452 - - 0.05 0.1529 1.0000 - 0.1 0.0051 0.9478 1.0000 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.09178 - - 0.05 0.04203 0.42606 - 0.1 0.00034 0.07401 0.42606 P value adjustment method: holm p=0.100 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 13.42 4.47 0.7197 0.5413 Residuals 196 1218.34 6.22 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.31 - - 0.05 1.00 0.95 - 0.1 0.64 1.00 1.00 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.38 - - 0.05 1.00 1.00 - 0.1 0.12 1.00 1.00 P value adjustment method: holm p=0.125 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 17.56 5.85 0.9662 0.4097 Residuals 196 1187.33 6.06 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.68 - - 0.05 0.22 0.95 - 0.1 0.95 0.95 0.95 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 0.33 1.00 - 0.1 0.67 1.00 1.00 P value adjustment method: holm p=0.150 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 15.47 5.16 1.0062 0.3911 Residuals 196 1004.28 5.12 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 1.00 1.00 - 0.1 0.48 0.26 0.72 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 0.87 - - 0.05 0.84 0.84 - 0.1 0.39 0.20 0.84 P value adjustment method: holm p=0.175 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 5.79 1.93 0.4253 0.7351 Residuals 196 889.69 4.54 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 1.00 1.00 - 0.1 1.00 0.55 1.00 P value adjustment method: holm p=0.200 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 7.51 2.50 0.5389 0.6562 Residuals 196 911.00 4.65 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 1.00 1.00 - 0.1 0.81 1.00 0.96 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1.00 - - 0.05 1.00 1.00 - 0.1 0.45 1.00 1.00 P value adjustment method: holm p=0.300 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 1.19 0.40 0.0979 0.961 Residuals 196 790.97 4.04 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm p=0.400 Df Sum Sq Mean Sq F value Pr(>F) alpha 3 1.97 0.66 0.217 0.8845 Residuals 196 593.51 3.03 Pairwise comparisons using t tests with non-pooled SD data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm Pairwise comparisons using Wilcoxon rank sum test data: currentDataAnova$cost and currentDataAnova$alpha 0.01 0.02 0.05 0.02 1 - - 0.05 1 1 - 0.1 1 1 1 P value adjustment method: holm