In: Statistics and Probability
The table below shows the number of hours per day 11 patients suffered from headaches before and after 7 weeks of soft tissue therapy. At α =0.01, is there enough evidence to conclude that soft tissue therapy helps to reduce the length of time patients suffer from headaches? Assume the samples are random and dependent, and the population is normally distributed. USE THE CRITICAL REGION METHOD
Patient: 1 2 3 4 5 6 7 8 9 10 11
Daily Headache HRS.( Before) 3.1 , 2.6 , 3.6 , 3.9, 1.8 , 3.3 , 3.8, 1.8 , 2.5, 3.9 , 1.6
Daily Headache HRS.(After) 1.8 , 1.8, 1.4 , 2.2, 1.2 , 2.4 ,3.0 ,1.3 , 1.6 , 1.3, 1.1
The table given below ,
Patient | Before (X) | After(Y) | di=X-Y | di^2 |
1 | 3.1 | 1.8 | 1.3 | 1.69 |
2 | 2.6 | 1.8 | 0.8 | 0.64 |
3 | 3.6 | 1.4 | 2.2 | 4.84 |
4 | 3.9 | 2.2 | 1.7 | 2.89 |
5 | 1.8 | 1.2 | 0.6 | 0.36 |
6 | 3.3 | 2.4 | 0.9 | 0.81 |
7 | 3.8 | 3 | 0.8 | 0.64 |
8 | 1.8 | 1.3 | 0.5 | 0.25 |
9 | 2.5 | 1.6 | 0.9 | 0.81 |
10 | 3.9 | 1.3 | 2.6 | 6.76 |
11 | 1.6 | 1.1 | 0.5 | 0.25 |
Sum | 12.8 | 19.94 |
From table ,
Let ,
The null and alternative hypothesis is ,
The test is one-tailed test.
Use the paired t-test.
Now , df=degrees of freedom=n-1=11-1=10
The critical value is ,
; From t-table
The test statistic is ,
Decision : Here , the value of the test statistic lies in the rejection region.
Therefore , reject Ho.
Conclusion : There is enough evidence to conclude that soft tissue therapy helps to reduce the length of time patients suffer from headaches.