Quote:
Originally posted by Andy Jordan:
<BLOCKQUOTE>Originally posted by Rohan:
So what's the hypothesis, and what is the value of the test statistic?
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looks like it's going for statistical independence for each condition in a contingency table, if I had to guess.
find the expected table, sum (observed - expected)^2 / expected, compare to critical value.
given that there are 2 rows and 5 columns, I believe there are 4 degrees of freedom; thus, the critical chi is 9.487729037.
your test value is more extreme than test chi, so you reject null and conclude that one's gender does indeed influence their decisions. </BLOCKQUOTE>
Stuff actually calculating a test statistic, get Stata to do it for you :thup:
Linear Mode
