Dear Tamuno, we have a paper that modify the Duke method because the high variance amonst assays. You can send me a message that i can send you the file.
But if you want that, use ANOVA followed by Tukey test, with significant value of p ≤ 0.05 (Use the time that bleeding stops)
Duke method has some limitations: when the blood stops (can be a little clot formation) and re-bleeding can start.
Or, you can do:
After the amputation, the blood leaking from the tail was blotted every 10 seconds on filter paper until stop bleeding. Importantly, the operator was blinded to the compound administrated to the mice to surpass operator bias. Special care was taken to not traumatize the lesion and re-induce bleeding
I don't know much about bleeding times in animals, but to extrapolate from humans, any bleeding time other than a standardised Ivy bleeding time is worthless. To standardise, one needs to make a controlled incision, at a specified site, under a specified pressure and blot the flow (but not the edges of the incision) every 30 seconds. The end is when only serum without RBC's is blotted. If these can be translated to an animal site and method, then you might have a valid study.
You could use Student's t-test to calculate if there is statistically significant difference in the mean bleeding times since bleeding time is a continuous variable. However, if you have categorised the bleeding times into, for instance, normal and abnormal, then a Chi-square test might be appropriate.