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https://issues.apache.org/jira/browse/MATH-160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12519243
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Phil Steitz commented on MATH-160:
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Consistent with the move away from the abstract factory pattern that we are 
making elsewhere in commons math, we should deprecate TestFactory.  Therefore, 
I think it is fine to just add the new interface and implementation class.

> Chi-Square Test for Comparing two binned Data Sets
> --------------------------------------------------
>
>                 Key: MATH-160
>                 URL: https://issues.apache.org/jira/browse/MATH-160
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Matthias Hummel
>            Priority: Minor
>             Fix For: 1.2
>
>         Attachments: commons-math.patch
>
>
> Current Chi-Square test implementation only supports standard Chi-Square 
> testing with respect to known distribution. We needed testing for comparison 
> of two sample data sets where the distribution can be unknown. For this case 
> the Chi-Square test has to be computed in a different way so that both error 
> contributions (one for each sample data set) are taken into account. See 
> Press et. al, Numerical Recipes, Second Edition, formula 14.3.2.

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