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From |
"Joseph Coveney" <[email protected]> |

To |
<[email protected]> |

Subject |
st: Re: Which command to test whether proportions of categories are the same in two sets of people? |

Date |
Thu, 28 Jan 2010 01:29:12 +0900 |

Jen Zhen wrote: I have a summary table with members from (1) the treatment group and (2) the control group of an experiment, and would like to provide for each observable variable a formal test for whether the two sets of people come indeed from the same population. For the continuous normal variables, I am just doing a t-test to test for equality of means, but I'm not fully sure what to do instead for the categorical variables (with more than 2 categories). I found the -csgof- command for a Chi-Square test of whether the proportions of the different categories in one sample correspond to those coming from some hypothesis, but which command would you use to test whether the proportions in the two groups are identical? -------------------------------------------------------------------------------- If your categories are nominal, then I second Nick Cox's recommendation. If your categories are ordered, then -ranksum- would be a better bet. Either way, you're going to need to convert proportions in each category in each group into counts (tallies) in each category in each group, so you'll need to multiply the proportions by the group sample sizes. Joseph Coveney * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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