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From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Chi-square test for Categorical Data Analysis |

Date |
Wed, 19 Sep 2007 11:31:21 -0400 |

David Radwin <radwin@berkeley.edu>: I think it's fairly easy to prove via counterexample or simulation that this can easily give the wrong answer. Can you give a reference that supports it? On 9/18/07, David Radwin <radwin@berkeley.edu> wrote: > [This email did not appear to go through the first time, and I > apologize if this is the second time you are seeing it.] > > Hugh, > > Another possibility is to approximate a continuous measure of income > by using the midpoint of the range as the actual value. So, for > example, the first value would be $12,500, the second would be > $75,000, etc. > Then you can calculate and report estimated group means for A and B > and the difference between them, and you can also do the usual > difference-of-means hypothesis testing. * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Chi-square test for Categorical Data Analysis***From:*David Radwin <radwin@berkeley.edu>

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