Hypothesis on nominal data.

Hi all. I have two variables (both nominal) union membership 1/0 and race 1/0 and I have to find if there is a relationship between them.

What would be the easiest way to do that?

I can define my own null hypothesis but I'm not even sure what could I test for this case.

For example how could I try to reject Ho: Black and white people are not equally distributed between being union members and not.

Many thanks in advance

I think you answered you own question,



now just do a survey, and a few graphs to prove yourself right.

Ok now I see that it is quite dumb hypothesis.

But how about Ho: There are more white people in unions.
By that I mean if in my data set would have equal distribution of black and white people then there would be more white union members than black.

Given that I have following table:
Cross-tabulation of union (rows) against black (columns)

[ 0][ 1] TOT.

[ 0] 854 63 917
[ 1] 313 30 343

TOTAL 1167 93 1260

And some statistics calculated from it:
Pearson chi-square test = 1,2853 (1 df, p-value = 0,256916)

What kind of stuff I can prove?

Given the smiley war that just took place, it looks like this isn't the right audience for your question...

Use a Chi-square.

I have no clue :

WTF is this about?? doest matter?? why do people have statistics like this..

to prove a point, particularly in the social sciences where only this kind of evidence can support your theory.