en the name-brand drug (control group). In the control group, the deviation of 11.5 mmHG. In the t a standard deviation of 12.5 mmH udy shows the generic drug is not a statistician?
en the name-brand drug (control group). In the control group, the deviation of 11.5 mmHG. In the t a standard deviation of 12.5 mmH udy shows the generic drug is not a statistician?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A generic drug is being tested to test its efficacy (effectiveness) at reducing blood pressure in
patients with hypertension (a.k.a. high blood pressure). In a randomized, double-blind experiment
with 200 patients, 100 are given the name-brand drug (control group) and 100 are given a generic
version of the drug (treatment group). In the control group, the average reduction in blood pressure
is 15.2 mmHG with a standard deviation of 11.5 mmHG. In the treatment group, there is an average
reduction of 14.6 mmHG and a standard deviation of 12.5 mmHG. Neither group has any outliers. A
researcher claims that this study shows the generic drug is not as effective as the name-brand drug.
What would be the reply of a statistician?
You have two attempts for this problem so choose wisely. If you do not receive 5 points in the
Gradebook after submitting this assignment then you have answered incorrectly. Make sure to try it
again before the deadline.
O Because the difference in sample means is under 1 mmHG, we can safely conclude the drugs
are equally effective.
O The point estimate for the generic drug is lower than that of the name-brand drug, which
means the generic drug is less effective. The researcher is correct.
O While there is some uncertainty in the point estimates, the sample sizes for each group are
large, indicating that the difference must be real.
O The standard deviations are quite large within each group relative to the size of the difference
in point estimates. It is unclear if there is a real difference in the effectiveness of the two drugs
or if the difference is just due to chance.
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