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...33, 0.2088, 0.2088, 0.1533, 0.0874, 0.0505) #probabilities from normal distribution test_result<-chisq.test(x=x,p=p) test_result Chi-squared test for given probabilities data: x X-squared = 1.8468, df = 7, p-value = 0.9678 from the out put, the degree of freedon is 7 (df=7), because the data was in 8 groups so df=8-1=7 That is perfect if the parameters (? and ?^2) in normal distribution is precise. However, in this case, they are unknow and I used ther estimations. If the observation group is n, number of unknow parameters in distribution is r, then in...

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