Re: Significance testing of Dependent proportions

Hari wrote: 
Hi Richard,

Thanks for the response.

I goggled for Mcnemar and got this link
http://www2.chass.ncsu.edu/garson/pa765/mcnemar.htm and
http://www.public.asu.edu/~huanliu/dmml_presentation/T-test.pdf

After going through the text and the example in the above 2 links am
sure this is not what I want as my data structure is different. (I dont
have BEFORE and AFTER scenario)

Let's say I have a universal set consisting of 100 people who ate at
Shop A or Shop B or Shop C or Shop D during today's lunch. (everybody
ate at one and only one of these 4 shops).

Let's suppose I construct a set of people who did not eat at shop A
(equal to 70).

Now, everybody who has not eaten at shop A would have eaten at shop B,
C or D. Let's say these numbers are 20, 40 and 10. (20 + 40 + 10 = 70)

Now, I want to know whether there is any significant difference between
number of people who did not eat at A with number of people who ate at
B (and afterwards number of people eating at C and D).

Please suggest the formula or test for the same. (accordingly I can
then code it out in excel).

Regards,
Hari
India


I still don't understand your question. Are you asking how to partition the overall (goodness of fit) chi-square into orthogonal components?

--
Bruce Weaver
bweaver@xxxxxxxxxxxx
www.angelfire.com/wv/bwhomedir
.

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