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From |
nigussie Tefera <nitefera@yahoo.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: Nonparametric test |

Date |
Tue, 7 Oct 2008 04:35:02 -0700 (PDT) |

Hello Nick! I am not sure whether you have already received the details of my question I posted six hours ago. I do repeat the same issues since I need your help badly! Here, is an example. Once again, I am sorry for ambiguity of the questions I posted yesterday! country individual income group x 1 2 x 2 1 x 3 2 x 4 3 . . . . . . . . . y 1 1 y 2 3 y 3 1 y 4 2 . . . . . . . . . y 1 3 y 2 2 y 3 1 y 4 1 . . . . . . . . . Now I want to generate the following table with paired test (compared all countries) Income group country X y z w paired test 1 count count count count ? 2 count count count count ? 3 count count count count ? If I want to fill all ? (question marks) what stata command should I use? Note: I have no problem in producing count. By the way, count can be either row or column percentages. I hope this will clarify the issues With regards Nigussie ----- Original Message ---- From: Nick Cox <n.j.cox@durham.ac.uk> To: statalist@hsphsun2.harvard.edu Sent: Monday, October 6, 2008 7:57:00 PM Subject: RE: st: RE: Nonparametric test I don't get a clear picture of what your data look like. We have countries, groups and individuals floating around in perfect fuzziness. Let me try again. 1. Do your data look like this? i.e. one observation, one country. Country Income group x 1 y 2 z 2 w 3 2. Or do you have replicates (e.g. areas, individuals) within each country? i.e. several observations for each country. 3. Or do you have something else? If so, give an example. Please answer: 1, 2 or 3. Also, what do you mean when you say that you want a separate test for each income group? No difference in what? Nick n.j.cox@durham.ac.uk nigussie Tefera Many thanks! My data looks like eactly what you stated but country x has high, middle and low income groups (individuals) and the same is applied for country y, z and w. Now, I want to test, whether there is statistically significant difference among high income groups across countries. The same is also true for mindle and low income groups. In short: the null hypothesis is no difference among countries for low, middle and high income groups (I need separate test for each income groups) Nick Cox <n.j.cox@durham.ac.uk> These are your variables, but what is your data structure? Do your data look like this? Country Income group x 1 y 2 z 2 w 3 Or do you have replicates (e.g. areas, individuals) within each country? And what hypothesis are you testing? nigussie Tefera I have two categorical variables: namely incomecat (1=high,2=middle and 3=low income) and country ( labeled as (x, y, z, w)). Suppose that each country has high, middle and low income group. If I want to run paired test for each income group across countries, what stata command should I use? * * 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/ * * 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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