<p>Haha I’m just glad I can help</p>
<p>Alright well this appears to be another chi-square test of association/independence</p>
<p>The null hypothesis is that there is no association between level of education and stroke survival rate
The alternative hypothesis is that there is an association between the level of education and stroke survival rate</p>
<p>degrees of freedom = (# of rows - 1)(# of columns - 1) = (2 - 1)(5 - 1) = 4</p>
<p>If you are given a X^2 value, you can find the p-value by going to 2nd->Distr->7.X^2cdf and plugging in X^2 value, e99, df, which would be X^2cdf(12.219, E99, 4)= .0157. So your p-value is .0157. You could also find this by putting the original data in a matrix and running the test in the calculator.</p>
<p>Since the p-value is significant at the 5% level, you have significant evidence that will allow you to reject the null hypothesis. The data indicates that there is an association between level of education and stroke survival rate</p>
<p>If you have any questions, feel free to ask</p>
<p>Guys, I have a question.
What’s the difference between homogeneity and independence/association
The matrices and procedures are the same, but what’s the difference?</p>
<p>I’m not exactly sure on the difference between homogeneity and independence/association, but from what I can gather, you use homogeneity to test if the distribution of two or more distinct populations are different; whereas, you use independence/association to test if there is an association between categorical variables. They seem so similar that they should almost be interchangeable though</p>
<p>darn, this chi square stuff looks hard.</p>
<p>^it’s not too bad once you get the hang of it</p>
<p>
</p>
<p>Homogeneity is when each of several populations have the same proportions of each category. Independence takes place when 2 characteristics don’t have a cause-and-effect relationship.</p>
<p>Chi-Square was the easiest chapter all year, IMO.</p>
<p>^Maybe the easiest inference chapter, but some of those early chapters on data analysis were wonderfully basic</p>