statistics - Comparing chi-squared tests

Question

I want to compare the chi-squared test and the one with continuity correction, in terms of their level and power. My idea is to iterate through Bernoulli distribution from 2 to 1200 samples and 500 times each and then to test chi.squared(correction = true) and chi.squared(correction = false) and to create a result table.

B=500
Array=c(4, 8, 16, 32, 64.....

For n in Array
 C1=empty
 C2=empty
  For i to B
    ... S1,S2 = two Samples of size n ...
    C1.add(chi.squred(S1,S2, correction=true))
    C2.add(chi.squred(S1,S2, correction=false))

I don't know is this the right way of doing so and how should I proceed? Thank you in advance.

question from:https://stackoverflow.com/questions/66046694/comparing-chi-squared-tests

Answer 1

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