[R] Query : Chi Square goodness of fit test

From: priti desai <priti.desai_at_kalyptorisk.com>
Date: Mon 03 Jul 2006 - 15:26:45 EST

If we have the data base of frauds given below

 no. of frauds = variable

<-c(4,1,6,9,9,10,2,4,8,2,3,0,1,2,3,1,3,4,5,4,4,4,9,5,4,3,11,8,12,3,10,0, 7)

pmf <- dpois(i, lambda, log = FALSE) # prob. mass function of variable

How to apply chi-square goodness of fit to test, Sample coming from Poisson distribution.
How to calculate observed frequencies & expected frequencies, after that how to calculate chi 2 test and interpret the result

The formula which I have used & answer which I am getting is as follows,

chisq.test(variable, p=pmf, simulate.p.value =FALSE, correct = FALSE)

        Chi-squared test for given probabilities

data: No_of_Frouds
X-squared = 1.043111e+15, df = 32, p-value < 2.2e-16

Warning message:
Chi-squared approximation may be incorrect in: chisq.test(No_of_Frouds, p = pmf, simulate.p.value = FALSE, correct = FALSE)  

But the answer is not correct.

Please suggest me the correct variable, calculations & formula in R.

 Awaiting your positive reply.  


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