A new chemotherapy drug is released to treat leukemia and researchers suspect that the drug may have fewer side effects than the most commonly used drug to treat leukemia. The two drugs have equivalent efficacy. In order to determine if a larger study should be conducted to look into the prevalence of side effects for the two drugs, set up a Mann-Whitney U test at the alpha equals .05 level and interpret its results.
Number of Reported Side-Effects
Old Drug 0 1 3 3 5
New Drug 0 0 1 2 4
|
Old Drug |
New Drug |
Total Sample (Ordered Smallest to Largest) |
Ranks |
||
|
Old Drug |
New Drug |
Old Drug |
New Drug |
||
|
R1= |
R2= |
||||
A) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated U value of 16.5 is greater than the critical U value of 2.
B) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated U value of 8.5 is greater than the critical U value of 2.
C) We reject H0 in favor of H1, which states the two populations are not equal at the alpha equals .05 level because the calculated U value of 16.5 is greater than the critical U value of 2.
D) We reject H0 in favor of H1, which states the two populations are not equal at the alpha equals .05 level because the calculated U value of 8.5 is greater than the critical U value of 2.
| Old Drug | New Drug | Total Sample | Ranks | ||
| (Ordered Smallest to Largest) | |||||
| Old Drug | New Drug | Old Drug | New Drug | ||
| 0 | 0 | 0 | 0 | 2 | 2 |
| 1 | 0 | 1 | 0 | 4.5 | 2 |
| 3 | 1 | 3 | 1 | 7.5 | 4.5 |
| 3 | 2 | 3 | 2 | 7.5 | 6 |
| 5 | 4 | 5 | 4 | 10 | 9 |
| R1=31.5 | R2=23.5 | ||||
| U1=n1n2+n1(n1+1)/2-ΣR1 | = | 8.5 | ||
B) We fail to reject H0, which states the two populations are equal at the alpha equals .05 level because the calculated U value of 8.5 is greater than the critical U value of 2.
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