what is the test size for multinomial goodness what is the best way to test for multinomial goodness of fit? how big should the sample be for goodness of fit what is the factor that influences how big n should be to be confident the test rejects the false distribution? how big should the sample size be so that the test rejects the false distribution and is tested with a chi square? why does multinomial goodness of fit which factors influence the way the probabilities are spread out how big should n be to be confident the test rejects a false distribution? how does goodness of fit work how many samples do we need to test chi square how to check whether a multinomial test works which factor influences how big the test should be to be confident that the test rejects the false distribution? why do multinomial goodness of fit tests work? how big should be the sample size to be confident the test rejects the false distribution how big should a chi square be what is the factor that influences how big is n why do we use goodness of fit in multinomial what kind of test does goodness of fit in multinomial data how big should the sample be for goodness of fit testing what factors influence the how big should the sample be to be confident the test rejects the false distribution?