Suppose that a pharmaceutical company is interested in testing
their new cholesterol medication and recruited 24 adults with high
blood pressures, where half of them were given the new drug and the
other half were given the old drug. Then the reduction in LDL
cholesterol level (unit: mg/dL) was measured after 6 months.
Summary statistics of the amount of reduction are shown
below.
NOTE: Not all outputs given above are
useful
n | x | s | |
New Drug | 12 | 32 | 23 |
Old Drug | 12 | 19 | 17 |
Difference (New Drug - Old Drug) | 12 | 13 | 27 |
Answer the following questions. If necessary, round your answer to
four decimal places.
(a) If the company wishes to test if the average reduction in LDL
cholesterol level is higher for the new drug, what would be the
most appropriate test to conduct?
The two-sample t-test (unequal variances)The paired t-test for a difference in means The one-sample t-test for a population mean
(b) Conduct the appropriate test. Use the significance level α =
0.05.
STEP 1: Set up null and alternative hypotheses
using statistical terms only.
H0: --- μD μ1 - μ2 μ --- >
= < ≠
HA: --- μ μD μ1 - μ2 --- <
≠ > =
STEP 2: Check all conditions. Make sure your
answer is in context of the problem.
STEP 3: Calculate the test-statistic and p-value.
If necessary, round your answers to four decimal places.
df =
t =
< p-value <
STEP 4: State the conclusion in statistical
terms.
Reject the null hypothesis.Fail to reject the null hypothesis.
State the conclusion in problem context.
(a) The paired t-test for a difference in means.
STEP 2: The dependent variable is the reduction in LDL cholesterol
level. It is continuous, it should be approximately normally
distributed, it should not contain any outliers and the
observations are independent of one another.
STEP 4: Fail to reject the null hypothesis, since the p-value is
greater than the 0.05 significance level.
We conclude that there is not enough evidence to suggest that the
average reduction in LDL cholesterol level is higher for the new
drug.
Get Answers For Free
Most questions answered within 1 hours.