I am reading about a method called consistent hash designed to distribute load among servers. The best case scenario would be a discrete uniform distribution where each server would get the same amount of requests.
In a specific implementation I am considering using there is a table of describing the chi squared and p-values test results:
I am having difficulties understanding how to interpret the results: From what I understand a Chi square test tests a null hypothesis and that the p value is the probability that we would accept the null hypothesis even if it is wrong.
What I don't understand is how to interpret a row in the results table. How do I associate the chi-squared test results and the value in the p-value[0.05/0.01] values to the probability that the distribution is not uniform ?