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) 160 189 185 193 166 199 193 178 156
Blood pressure (after) 142 174 159 181 160 173 171 170 141
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 H0H0. Round the numerical portion of your answer to three decimal places.
Step 5 of 5: Make the decision for the hypothesis test.
1)
2) = (18 + 15 + 26 + 12 + 6 + 26 + 22 + 8 + 15)/9 = 16.4
sd = sqrt(((18 - 16.4)^2 + (15 - 16.4)^2 + (26 - 16.4)^2 + (12 - 16.4)^2 + (6 - 16.4)^2 + (26 - 16.4)^2 + (22 - 16.4)^2 + (8 - 16.4)^2 + (15 - 16.4)^2)/8) = 7.2
3) Th test statistic is
4) df = 9 - 1 = 8
At alpha = 0.05, the critical value is t0.05,8 = 1.860
Reject H0, if t > 1.860
5) Since the test statistic value is greater than the critical value(6.833 > 1.860), so we should reject the null hypothesis.
At 0.05 significance level, there is sufficient evidence to support the claim that the new drug reduces the systolic blood pressure.
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