for example of data set:
Use Wilcoxon Matched pair signed rank test to determine the equality of effectiveness of two types of drugs in suppressing pair from following data
Patient No. | Drug A | Drug B |
---|---|---|
1 | 6.5 | 3.5 |
2 | 3.7 | 3.7 |
3 | 3.9 | 4.7 |
4 | 6.7 | 5.0 |
5 | 6.2 | 5.6 |
6 | 6.7 | 4.3 |
7 | 6.1 | 5.4 |
8 | 4.3 | 5.8 |
9 | 5.5 | 4.3 |
10 | 6.8 | 4.3 |
11 | 5.4 | 5.4 |
12 | 4.0 | 4.1 |
13 | 5.7 | 4.1 |
14 | 3.9 | 4.2 |
15 | 3.6 | 3.7 |
16 | 4.9 | 4.1 |
17 | 3.9 | 5.4 |
18 | 5.8 | 3.7 |
19 | 4.9 | 4.1 |
20 | 4.9 | 4.1 |
Goto variable view and add the variables
Goto the data view and add the data
Click on Analyze tab > NonParametric Tests > Legacy Dialogs > 2 Related Samples.
Add the required variable in Test Variable List and click Options.
Click Descriptives and Quartiles and click Continue.
Required Output:
Since, p < 0.05, it is significant.