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Comparing More Than Two Proportions

In Week 7 we saw how to compare two population proportions, tex2html_wrap_inline3669 and tex2html_wrap_inline3671 . In this section we consider proportions for more than two 0-1 populations. If we have K such populations and we have random samples of size tex2html_wrap_inline3637 from the populations, then typically we want to test whether whether the true population proportions are some hypothesized values tex2html_wrap_inline5373 . The most common example is whether all proportions are the same.

If the null hypothesis is true, then we would expect to get tex2html_wrap_inline5375 1's (that is `successes') in the ith sample. If we let tex2html_wrap_inline5379 denote the actual number of 1's in the ith sample, then we could measure how far the observed data is from what we expect if the null hypothesis is true by test statistic

displaymath5383

A large (small) value of this statistic is evidence against (not against) the null hypothesis.

We reject the null hypothesis if tex2html_wrap_inline5385 .



Jan Lethen
Wed Nov 13 16:20:46 CST 1996