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Myocardial Infarction Status

Given the following 2x2 table:

Myocardial Infarction Status
Yes No

OC User 683 2537
Non-OC user 1498 8747

Calculate the expected value for an OC user and no myocardial infarction. The TA said "2537", which may be correct, but I think some kind of chi-square goodness of fit or a similar test is needed to see what the "expected value" would be or how it would fit a normal distribution. I have waded through some reference material that would indicate there is a way to solve for the expected value, given the sample, but am unclear on how to work this.

Solution Preview

<br>The table looks like this:
<br><br>
<br><br> Myocardial Infraction Status
<br><br> YES NO
<br><br>
<br><br> OC User 683 2537
<br><br> Non-OC User 1498 8747
<br><br>
<br><br>Let me first state the solution in general terms and then apply numerical values. add extra column and row for the sum values
<br><br>
<br><br> Myocardial Infraction Status
<br><br> YES NO Subtotal
<br><br>
<br><br> OC User a1 a2 (a1+a2)
<br><br> Non-OC User ...

Solution Summary

Given the following 2x2 table:

Myocardial Infarction Status
Yes No

OC User 683 2537
Non-OC user 1498 8747

Calculate the expected value for an OC user and no myocardial infarction. The TA said "2537", which may be correct, but I think some kind of chi-square goodness of fit or a similar test is needed to see what the "expected value" would be or how it would fit a normal distribution. I have waded through some reference material that would indicate there is a way to solve for the expected value, given the sample, but am unclear on how to work this.

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