Hi Katxt,

Clearly, both methods are insignificance.

But the question is which test is more correct to use (what do you do if one is significance and one insignificance...)

In parallel, the power is very low ... so with some assuptions, you need a sample size of 53 per each group for medium effect size and power of 0.8

PS Mann Whitney gives 0.41 (if independent groups )

Or do you use a more accurate method (especially with ties)

R results:

> A <- c(1024, 1448, 4096, 2048, 181, 1448, 1448, 2896)

> B <- c(4096, 4096, 2896, 2896, 1024, 1448, 1448, 1448)

> wilcox.test(A, B, paired = FALSE, alternative = "two.sided", mu = 0.0,

+ exact = TRUE, correct = TRUE, conf.int = TRUE, conf.level = 0.95)

Wilcoxon rank-sum test with

continuity correction

data: A and B

W = 24, p-value = 0.4154

alternative hypothesis: true location shift is not equal to 0

95 percent confidence interval:

-2048 600

sample estimates:

difference in location

-424