In: Statistics and Probability
2. A medical trial looking at the effectiveness of a new medication was carried on a sample of adults. 100 females and 80 males took part in the trial. Out of those people, 60 females and 50 males responded positively to the medication. Create a contingency table of the results and answer the following:
a. Who responds better to the medication, men or women?
b. Express the relative effectiveness of the drug between groups, as a ratio.
c. If you randomly picked out a negative test, what is the probability that the person would be male?
d. Practically speaking, for whom would this new medication be of the most benefit?
2. A medical trial looking at the effectiveness of a new medication was carried on a sample of adults. 100 females and 80 males took part in the trial. Out of those people, 60 females and 50 males responded positively to the medication. Create a contingency table of the results and answer the following:
Female |
Male |
Total |
|
+ve test |
60 |
50 |
110 |
-ve test |
40 |
30 |
70 |
Total |
100 |
80 |
180 |
Column percentages
Female |
Male |
Total |
|
+ve test |
60 |
62.5 |
61.11 |
-ve test |
40 |
37.5 |
38.89 |
Total |
a. Who responds better to the medication, men or women?
Men responded better because their % of positive test (62.5%) is more than women(60%)
b. Express the relative effectiveness of the drug between groups, as a ratio.
relative effectiveness of men to women = (50/80)/(60/100) = 1.0417
c. If you randomly picked out a negative test, what is the probability that the person would be male?
P=30/70 =0.4286
d. Practically speaking, for whom would this new medication be of the most benefit?
Since men responded more positive, men were most benefit.