A pharmaceutical company claims that its new drug reduces systolic blood pressure. The systolic blood pressure (in millimeters of mercury) for nine patients before taking the new drug and 2 hours after taking the drug are shown in the table below. Is there enough evidence to support the company's claim?
Let d=(blood pressure before taking new drug)−(blood pressure after taking new drug) . Use a significance level of α=0.05 for the test. Assume that the systolic blood pressure levels are normally distributed for the population of patients both before and after taking the new drug.
Patient | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
Blood pressure (before) | 148 | 171 | 160 | 183 | 187 | 165 | 186 | 166 | 198 |
Blood pressure (after) | 142 | 154 | 151 | 166 | 180 | 148 | 167 | 151 | 185 |
Step 1 of 5:
State the null and alternative hypotheses for the test.
Step 2 of 5:
Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.
Step 3 of 5:
Compute the value of the test statistic. Round your answer to three decimal places.
Step 4 of 5:
Determine the decision rule for rejecting the null hypothesis H0 . Round the numerical portion of your answer to three decimal places.
Step 5 of 5:
Make the decision for the hypothesis test
Count, N: | 9 |
Sum, Σx: | 120 |
Mean, x̄: | 13.333333333333 |
Variance, s2: | 23.5 |
Step 1 :
H0 : d = 0
H1 : d > 0
Step 2 :
Standard deviation Sd = 4.8
Step 3 :
Test statistic t = d-bar / (Sd / sqrt(n) ) = 13.33 / (4.8 / sqrt(9) )
= 8.331
Step 4 :
aplha = 0.05
t-critical = 1.86
t > t-critical
Reject H0
Step 5 :
We can conclude that the new drug reduces systolic blood pressure.
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