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Jan 27, 2011 at 18:14 vote accept David LeBauer
Jan 25, 2011 at 3:25 comment added Will Jagy Thanks, Gottfried. Comments can continue on closed questions.
Jan 25, 2011 at 2:16 comment added Gottfried Helms @Will: "contingency table" is just a bivariate table of frequencies. And yes, a 2x3-contingency-table has 2 "degrees of freedom" , so 2 parameters (2 frequencies) are free and 6-4=2 frequencies are then determined. (But the question is closed, so this comment will likely not appear...; the question should have occured in stat.exchange instead)
Jan 25, 2011 at 1:11 comment added Gottfried Helms @David: I don't understand your last question. A distribution is a property of a random-variable, that means something which can have many realizations. But here you have 6 variables in an arrangement of a contingency-table with given margins, you have 2 degrees of freedom: 2 variables (not in the same column) can vary continuously - (with some range-restriction when negative values are forbidden). If -for the varying a,b,c,..., - the resp. chi-square-value $\Chi$ is computed you'll compare it with a "chi-square-distribution for 2 degrees of freedom"
Jan 25, 2011 at 0:40 comment added David LeBauer @Gottfried Thank you for your answer - now I understand @Will's point better. Perhaps I misused the term contingency table: the values do not have to be integers. Are you saying that if I assume that the variable has a chi-square distribution?
Jan 24, 2011 at 23:25 history edited Gottfried Helms CC BY-SA 2.5
Formatting
Jan 24, 2011 at 23:13 history edited Gottfried Helms CC BY-SA 2.5
improving explanation; added 62 characters in body
Jan 24, 2011 at 23:05 history answered Gottfried Helms CC BY-SA 2.5