A clinical trial is conducted comparing two anticoagulant drugs. 240 patients meeting all inclusion criteria are randomly assigned to receive drug 1 or drug 2. After one year, 40 of the patients receiving drug 1 and 20 of the patients recieving drug 2 reported a blood clot.
Number with blood clots after 1 year (successes) |
Number without blood clots after 1 year |
Sample Size |
|
Drug 1 |
40 |
80 |
120 |
Drug 2 |
20 |
110 |
120 |
Which of the following would be the most appropriate hypothesis test to determine whether there is a significant difference in the number of patients reporting blood clots by drug treatment group.
A. |
Comparison of two proportions (ch. 17) |
|
B. |
Chi-Squared Test (ch. 18) |
|
C. |
Inference about a proportion (ch. 16) |
|
D. |
ANOVA (ch. 13) |
A. |
Comparison of two proportions (ch. 17) |
This is a case in which we need to test whether there is a significant difference in the number of patients reporting blood clots by drug treatment group, which can easily be done by calculating proportions for each scenario and running this test to see if there is a significant difference between the two population proportions or not.
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