Q2.1 Hypotheses In a clinical trial to compare the effectiveness of two drugs in preventing heart attacks, 25,620 patients were randomly divided into three groups. One group took a tablet of drug A each day. The next group took a table of drug B each day. The third group took one table of each drug each day. Patients were studied for 56 months and the number of who suffered heart attacks (fatal and non-fatal) were counted. Write the appropriate hypotheses to test if there would be an association between these treatments and cardiac outcome. Save Answer Q2.2 Conditions Values in the table represent counts, (expected values), and [Chi-square components] for this study. Drug A Drug B Both drugs Save Answer Is the sample size of 25,620 large enough? Explain how you know. Q2.3 Mechanics Fatal Heart Attack 598 (607.14) [0.1376] 603 (609.56) [0.0706] 620 (604.30) [0.4079] Drug A Drug B Both drugs Values in the table represent counts, (expected values), and [Chi-square components] for this study. Save Answer Non-Fatal Heart Attack 431 (418.43) [0.3776] 400 (420.10) [0.9617] 424 (416.47) [0.1362] Fatal Heart Attack 598 (607.14) [0.1376] 603 (609.56) [0.0706] 620 (604.30) [0.4079] Q2.4 Decision Linked in Context Non-Fatal Heart Attack 431 (418.43) [0.3776] 400 (420.10) [0.9617] 424 (416.47) [0.1362] No Heart Attack 7513 (7516.43) [0.0016] 7573 (7546.34) [0.0942] 7458 (7481.23) [0.0721] Find the value of Chi-square, the degrees of freedom, and the P-value for this test and list them in the space provided. Based on your results in part (2.3), make a decision linked in context. No Heart Attack 7513 (7516.43) [0.0016] 7573 (7546.34) [0.0942] 7458 (7481.23) [0.0721]
Q2.1 Hypotheses In a clinical trial to compare the effectiveness of two drugs in preventing heart attacks, 25,620 patients were randomly divided into three groups. One group took a tablet of drug A each day. The next group took a table of drug B each day. The third group took one table of each drug each day. Patients were studied for 56 months and the number of who suffered heart attacks (fatal and non-fatal) were counted. Write the appropriate hypotheses to test if there would be an association between these treatments and cardiac outcome. Save Answer Q2.2 Conditions Values in the table represent counts, (expected values), and [Chi-square components] for this study. Drug A Drug B Both drugs Save Answer Is the sample size of 25,620 large enough? Explain how you know. Q2.3 Mechanics Fatal Heart Attack 598 (607.14) [0.1376] 603 (609.56) [0.0706] 620 (604.30) [0.4079] Drug A Drug B Both drugs Values in the table represent counts, (expected values), and [Chi-square components] for this study. Save Answer Non-Fatal Heart Attack 431 (418.43) [0.3776] 400 (420.10) [0.9617] 424 (416.47) [0.1362] Fatal Heart Attack 598 (607.14) [0.1376] 603 (609.56) [0.0706] 620 (604.30) [0.4079] Q2.4 Decision Linked in Context Non-Fatal Heart Attack 431 (418.43) [0.3776] 400 (420.10) [0.9617] 424 (416.47) [0.1362] No Heart Attack 7513 (7516.43) [0.0016] 7573 (7546.34) [0.0942] 7458 (7481.23) [0.0721] Find the value of Chi-square, the degrees of freedom, and the P-value for this test and list them in the space provided. Based on your results in part (2.3), make a decision linked in context. No Heart Attack 7513 (7516.43) [0.0016] 7573 (7546.34) [0.0942] 7458 (7481.23) [0.0721]
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![Q2.1 Hypotheses
In a clinical trial to compare the effectiveness of two drugs in preventing heart attacks, 25,620
patients were randomly divided into three groups. One group took a tablet of drug A each day.
The next group took a table of drug B each day. The third group took one table of each drug each
day. Patients were studied for 56 months and the number of who suffered heart attacks (fatal and
non-fatal) were counted.
Write the appropriate hypotheses to test if there would be an association between these
treatments and cardiac outcome.
Save Answer
Q2.2 Conditions
Values in the table represent counts, (expected values), and [Chi-square components] for this study.
Drug A
Drug B
Both drugs
Save Answer
Is the sample size of 25,620 large enough? Explain how you know.
Q2.3 Mechanics
Fatal Heart Attack
598 (607.14) [0.1376]
603 (609.56) [0.0706]
620 (604.30) [0.4079]
Drug A
Drug B
Both drugs
Values in the table represent counts, (expected values), and [Chi-square components] for this study.
Save Answer
Non-Fatal Heart Attack
431 (418.43) [0.3776]
400 (420.10) [0.9617]
424 (416.47) [0.1362]
Fatal Heart Attack
598 (607.14) [0.1376]
603 (609.56) [0.0706]
620 (604.30) [0.4079]
Q2.4 Decision Linked in Context
Non-Fatal Heart Attack
431 (418.43) [0.3776]
400 (420.10) [0.9617]
424 (416.47) [0.1362]
No Heart Attack
7513 (7516.43) [0.0016]
7573 (7546.34) [0.0942]
7458 (7481.23) [0.0721]
Find the value of Chi-square, the degrees of freedom, and the P-value for this test and list them in
the space provided.
Based on your results in part (2.3), make a decision linked in context.
No Heart Attack
7513 (7516.43) [0.0016]
7573 (7546.34) [0.0942]
7458 (7481.23) [0.0721]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa8ba3a71-d749-40cb-a922-6232b6a4906b%2Fbd437fa2-6540-40af-a54f-5964246c724d%2Fq5jc1xk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Q2.1 Hypotheses
In a clinical trial to compare the effectiveness of two drugs in preventing heart attacks, 25,620
patients were randomly divided into three groups. One group took a tablet of drug A each day.
The next group took a table of drug B each day. The third group took one table of each drug each
day. Patients were studied for 56 months and the number of who suffered heart attacks (fatal and
non-fatal) were counted.
Write the appropriate hypotheses to test if there would be an association between these
treatments and cardiac outcome.
Save Answer
Q2.2 Conditions
Values in the table represent counts, (expected values), and [Chi-square components] for this study.
Drug A
Drug B
Both drugs
Save Answer
Is the sample size of 25,620 large enough? Explain how you know.
Q2.3 Mechanics
Fatal Heart Attack
598 (607.14) [0.1376]
603 (609.56) [0.0706]
620 (604.30) [0.4079]
Drug A
Drug B
Both drugs
Values in the table represent counts, (expected values), and [Chi-square components] for this study.
Save Answer
Non-Fatal Heart Attack
431 (418.43) [0.3776]
400 (420.10) [0.9617]
424 (416.47) [0.1362]
Fatal Heart Attack
598 (607.14) [0.1376]
603 (609.56) [0.0706]
620 (604.30) [0.4079]
Q2.4 Decision Linked in Context
Non-Fatal Heart Attack
431 (418.43) [0.3776]
400 (420.10) [0.9617]
424 (416.47) [0.1362]
No Heart Attack
7513 (7516.43) [0.0016]
7573 (7546.34) [0.0942]
7458 (7481.23) [0.0721]
Find the value of Chi-square, the degrees of freedom, and the P-value for this test and list them in
the space provided.
Based on your results in part (2.3), make a decision linked in context.
No Heart Attack
7513 (7516.43) [0.0016]
7573 (7546.34) [0.0942]
7458 (7481.23) [0.0721]
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