In: Statistics and Probability
A company claims that its new drug is effective is lowering blood pressure. To test this claim, an independent clinic tested the drug on 6 volunteers. Below are the blood pressures before and after taking the new drug.
| 
 BP Before Drug  | 
 142  | 
 130  | 
 145  | 
 129  | 
 138  | 
 126  | 
| 
 BP After Drug  | 
 120  | 
 110  | 
 140  | 
 115  | 
 125  | 
 110  | 
(a) What tailed test is this? (i.e., RIGHT, LEFT, or TWO-TAILED?)
(b) What is the value of the "Test Statistic"?
(c) What is the critical value(s)? Use α=0.05.
(d) What is the P-value?
(e) Do you "Reject" or "Fail to Reject" the Null Hypothesis?
(f) Is the company justified in its claim? [Use the Summary Table provided in class]
Answer a)
We are taking difference as Before Drug - After Drug. Since new drug lowers the blood pressure so mean difference should be greater than zero. Thus, it is a RIGHT, tailed test.
Answer b)
The following table is obtained:


The value of the "Test Statistic" is 6.124
Answer c)
The degrees of freedom = n-1 = 6-1 = 5
α = 0.05
The critical t value corresponding to α = 0.05 and df = 5 for a right tailed test is obtained using calculator. Screenshot below:

The critical value is 2.015.
Answer d)
P-value corresponding to Test Statistic t = 6.124 and df = 5 for a right tailed test is obtained using calculator. Screenshot below:

Thus, p-value = 0.0008
Answer e)
Since p-value = 0.0008 < α = 0.05, we reject null hypothesis.
Answer f)
At 0.05 significance level, the company is justified in its claim that its new drug is effective is lowering blood pressure.