In: Statistics and Probability
Part 2: Wilcoxon Rank-Sum Test
Let us consider another hypothetical situation. The WHO wants to compare the mortality rates of children under the age of five years of underdeveloped and developed regions of the world. There were two independent samples of ten countries from each of the groups drawn at the same time, and the yearly mortality rates of children under the age of five years (per 100,000) inhabitants were reported (MRate1 and MRate2).
Table 2: Mortality Rates of Children
Country | MRate1 | MRate2 |
1 | 120 | 11 |
2 | 110 | 9 |
3 | 105 | 13 |
4 | 61 | 11 |
5 | 45 | 14 |
6 | 114 | 11 |
7 | 118 | 10 |
8 | 138 | 8 |
9 | 85 | 6 |
10 | 70 | 6 |
Using the Minitab statistical analysis program to enter the data and perform the analysis, complete the following:
Mann-Whitney Test and CI: MRate1, MRate2
N Median
MRate1 10 107.50
MRate2 10 10.50
Point estimate for ETA1-ETA2 is 98.00
95.5 Percent CI for ETA1-ETA2 is (59.00,108.00)
W = 155.0
Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at
0.0002
The test is significant at 0.0002 (adjusted for ties)
Since P-value<0.05 so there is significant difference in the mortality rates.