A 2x2 table was made showing the association between gender/aortic stenosis. A Fisher's Exact Test on the 2x2 table to test the null hypothesis (there is no association between gender and aortic stenosis against the alternative hypothesis that there is an association) was also done. Giving these results:

2x2 Table:

0 1

0 66 44

1 43 62

After conducting a Fisher's Exact Test, it can be concluded that the alternative hypothesis is true. This is so because the P value of 0.006362 is far less than the 5% significance level.

A Chi-square test was done on the same table. Do you get the same results as the Fisher exact test? Any guess why or why not? I need help with this part. I will include the data I got, please explain how the answer was derived

X-squared = 7.0543, df = 1, p-value = 0.007907