You are conducting a test of independence to see if getting the flu is independent of whether or not you got a flu shot.
Mere is the sample data.
\table[[Category,Got the Flu,Did not get the Flu],[Got Flu Shot,27,92],[Did not get Flu Shot,34,92]]
The expected observations for this table would be
\table[[Category,Got the Flu,Did not get the Flu],[Got Flu Shot,,],[Did not get Flu Shot,,]]
The resulting ((O-E)^(2))/(E) for finding the test are:
\table[[Category],[Got Flu Shot],[Did not get Flu Shot]]
What is the chi-square test-statistic for this data? (add the results from the previous table) x^(2)= ◻
What is the P-Value for this test-statistic?
p. Value - ◻
Can you conlude (at the 0.05 significance level) that getting the fis is independent of whether or not you got the flu shot?
Yes independent: getting the flu is independent of if you got the flu shot.
No not independent: getting the flu is dependent on if you got the flu shot.
Report all answers accurate to three decimal places.