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Along with an associated 'degrees of freedom' these values can be used to give the probability of deviation from some model under the null hypothesis. For example, suppose the chi-square value proved to be 13.5 on df=6. Various sources give the value of the chi-square distribution function for this particular outcome. Let me use the Python (language) library scipy.
>>> chi2.cdf(13.5,6)
0.96425158157771951
This indicates that one would expect to see a value this large only about 0.036 or 3.6% of the time, given the truth of the null hypothesis. One would have some grounds for rejecting that hypothesis.
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Can you get a negative chi square statistic?
The characteristics of the chi-square distribution are: A. The value of chi-square is never negative. B. The chi-square distribution is positively skewed. C. There is a family of chi-square distributions.
Is chi-square distribution symmetrical about mean value?
No.
What does the number that Chi-Square produces represent?
It is the value of a random variable which has a chi-square distribution with the appropriate number of degrees of freedom.
How do you determine critical value in Chi Square?
How, i want to know too
Chi-square distribution assumes only positive value?
1
