Im at the stage where im banging my head against the wall!!!!

Im testing the time of travel (in hours) taken for fish to cross a lake under 2 different conditions. There are 39 and 40 times in each set respectively.

I tested the data for normality using the Anderson Darling test which showed my data wasn't normal, so i decided on a non-parametric test.

However, the assumptions stated on Minitab for the mann whitney, kruskal wallis and moods median test is that the variences are equal. I used the Levenes test and it showed the variances were not equal (P=0.034).

So which test do i use? the data is non-parametric but all the non-parametric tests assume the data has equal variances!

Also I tried to transform my data, to get normal distribution. I achieved this in one set but not the other. Do I use the un-transformed data and a non-parametric test and ignor the assumptions about variances?

I really look foward to help on my puzzle so I can make my dealine for work!!!

:wave: