GLYPH<21> = 0 : 5 , N = 250 No Autoregressive Errors Added F ( : ) is Normal t-test k = 2 k = 5 k = 10 GLYPH<23> = 1 , No e⁄ect 0.0434 0.0462 0.0432 0.0412 GLYPH<23> = 10 , No interference 0.9992 0.9998 1.0000 0.9856 GLYPH<23> = 10 , Interference A 0.8028 0.8014 0.8928 0.7328 GLYPH<23> = 10 , Interference B 0.8006 0.7968 0.8810 0.7274 GLYPH<23> = 10 , Interference C 0.3056 0.2830 0.3704 0.2806 GLYPH<23> = 10 , Interference D 0.1174 0.1060 0.1238 0.0896 F ( : ) is the t-distribution, 2 df t-test k = 2 k = 5 k = 10 GLYPH<23> = 1 , No e⁄ect 0.0410 0.0448 0.0430 0.0436 GLYPH<23> = 10 , No interference 0.9542 1.0000 1.0000 0.9854 GLYPH<23> = 10 , Interference A 0.6610 0.8130 0.9004 0.7392 GLYPH<23> = 10 , Interference B 0.6510 0.7998 0.8892 0.7316 GLYPH<23> = 10 , Interference C 0.2464 0.2838 0.3652 0.2704 GLYPH<23> = 10 , Interference D 0.0966 0.1188 0.1302 0.0984 Autoregressive Errors Added F ( : ) is Normal t-test k = 2 k = 5 k = 10 GLYPH<23> = 1 , No e⁄ect 0.0494 0.0518 0.0458 0.0476 GLYPH<23> = 10 , No interference 0.9714 0.9744 0.9454 0.7670 GLYPH<23> = 10 , Interference A 0.4868 0.4824 0.4528 0.2976 GLYPH<23> = 10 , Interference B 0.4874 0.4772 0.4572 0.3002 GLYPH<23> = 10 , Interference C 0.1622 0.1562 0.1498 0.0892 GLYPH<23> = 10 , Interference D 0.0786 0.0746 0.0726 0.0524 F ( : ) is the t-distribution, 2 df t-test k = 2 k = 5 k = 10 GLYPH<23> = 1 , No e⁄ect 0.0442 0.0524 0.0476 0.0476 GLYPH<23> = 10 , No interference 0.9506 0.9968 0.9976 0.9670 GLYPH<23> = 10 , Interference A 0.5826 0.6602 0.7494 0.6184 GLYPH<23> = 10 , Interference B 0.5810 0.6534 0.7316 0.5926 GLYPH<23> = 10 , Interference C 0.1996 0.2218 0.2502 0.1826 GLYPH<23> = 10 , Interference D 0.0866 0.0928 0.0950 0.0704 Table 5: Simulated power with interference in a randomized experiment in a single block, B = 1 , of size N = 250 , when 50% of trials are successful, GLYPH<21> = 0 : 5 . The case GLYPH<23> = 1 is the null hypothesis of no e⁄ect and hence no interference among e⁄ects, so the simulation is estimating the true size of a test with nominal level 0.05. The statistic k = 2 is the Mann-Whitney-Wilcoxon statistic. The highest power in a non-null row is in bold . 29