I don't know the exact term for this, so googling didn't work. I will explain exactly what I need below.
I want to compare two sets of values such as blood sugar or blood pressure, where the values never start at 0. Please consider the example below:
Update
I compared the duration of motor block after spinal anesthesia. The results are not distributed normally:
Min. 1st Qu. Median Mean 3rd Qu. Max.
75.0 140.0 160.0 157.2 175.8 280.0
90.0 166.2 190.0 193.3 210.0 295.0
And Wilcoxon rank sum test with continuity correction resulted in W = 622.5, p-value = 1.475e-05.
So, is there any special concerns for comparing these groups aside from applying t-test or Mann-Whitney-U, regarding the fact that legal range does not start at 0?
@Peter Flom
Well, after reading your last comment, I tried it on R and saw that the two p values are the same:
tension1<-c(160,180,170,150,145,176,198,200)
deviation1<-c(20,40,30,10,5,36,58,60)
tension2<-tension1+12;deviation2<-deviation1+12
ks.test(tension1,tension2)
Two-sample Kolmogorov-Smirnov test
data: dev1 and dev2 D = 0.375, p-value = 0.6601 alternative hypothesis: two-sided
t.test(tension1,tension2)
Welch Two Sample t-test
data: tension1 and tension2
t = -1.1792, df = 14, p-value = 0.258
t.test(deviation1,deviation2)
Welch Two Sample t-test
data: deviation1 and deviation2
t = -1.1792, df = 14, p-value = 0.258