Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down at the end of May, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Seed, Paul" <paul.seed@kcl.ac.uk> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: Which test to use? |

Date |
Fri, 20 May 2011 10:13:38 +0100 |

Toby's data can be summarised as 3 frequencies using -tabulate-. (X==1 & Y==0; X==0 & Y==1 ; X==0 & Y==0) He can get CI for the percentages of these with a little ingenuity He tells us that X and Y never occur together; so his question (as asked) does not make much sense. They are linked by definition, (as a chi-sq test will confirm), and no test is needed. Allowing for his English, a sensible question is "Is X more common than Y?" He can approach this by ignoring occasions when X and Y are the same, using -bitest-. If he has another question in mind, perhaps he can explain further. ******* example code ********* tab X Y, cell gen neither = X+Y == 0 ci X Y neither, bin bitest X = 0.5 if X !=Y ******* end example code ***** On Thu, May 19, 2011 at 9:12 AM, Toby <spiegeldesaster@googlemail.com> wrote: > Hello, > > I have data of the following character > > > decision X Y > 34 1 0 > 34 1 0 > 56 0 0 > 77 0 1 > 23 0 0 > > > X and Y take the function of categorizing the variable decision. If I > take the mean value of X I get the frequency of decision that could be > classifed as X, the same holds for Y. It could never be that X and Y > take the value 1 at the same time. > Now I want to test whether the frequency of X is significantly > different from the frequency of Y. Can anybody help me figuring out > which statistical test I have to 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/

- Prev by Date:
**Re: st: Heteroscedastic logit model** - Next by Date:
**Re: st: Heteroscedastic logit model** - Previous by thread:
**Re: st: RE: Which test to use?** - Next by thread:
**st: Fixed effects/hausman-test/ different approach?** - Index(es):