How to do an equidistribution test?

Asked Feb 05 '19 at 12:28

Active Feb 05 '19 at 12:28

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Suppose I have a sample of $N$ numbers $a_1,\dots,a_N$ from $1,\dots,k$. How can I test whether they are equidistributed?

I'm not interested in a full randomness test as the order does not matter to me, so Testing random variate generation algorithms is not relevant to me, neither are its dupes. For me, a sequence $1,2,3,\dots k,1,2,3,\dots,k,\dotsc$ is perfectly fine.

I would like to have a test just from the frequencies/counts, i.e., my input data really is the vector of number of occurrences $c_j=\#\{n\leq N:a_n=j\}$ for $j=1,\dots,k$. I was unable to google the way how to proceed.

asked Feb 05 '19 at 12:28

yo'

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Chi square test. – user2974951 Feb 05 '19 at 12:34
@user2974951 Thanks a lot, after some googling based on your help I found that I have to calculate $\chi^2=Nk\sum_{j=1}^k (c_j/N-1/k)^2$ and that I have $k-1$ degrees of freedom. But from this I'm not sure how to proceed. – yo' Feb 05 '19 at 12:45
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See these threads. – whuber Feb 05 '19 at 13:17
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@whuber Thanks a lot! https://stats.stackexchange.com/questions/3194/how-can-i-test-the-fairness-of-a-d20 helped me really. Should I delete my question? – yo' Feb 05 '19 at 13:26
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Good find! Thank you for searching and for sharing the result of your search. – whuber Feb 05 '19 at 13:28

How to do an equidistribution test?

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