Use the following information to answer the next two exercises. A new AIDS prevention drug was tried on a group of 224 HIV positive patients. Forty-five patients developed AIDS after four years. In a control group of 224 HIV positive patients, 68 developed AIDS after four years. We want to test whether the method of treatment reduces the proportion of patients that develop AIDS after four years or if the proportions of the treated group and the untreated group stay the same. Using HA: P1 α= conclusion. P20 as the alternative hypothesis, an alpha level of 0.01, and the p-value you found in the previous problem, form a -
Use the following information to answer the next two exercises. A new AIDS prevention drug was tried on a group of 224 HIV positive patients. Forty-five patients developed AIDS after four years. In a control group of 224 HIV positive patients, 68 developed AIDS after four years. We want to test whether the method of treatment reduces the proportion of patients that develop AIDS after four years or if the proportions of the treated group and the untreated group stay the same. Using HA: P1 α= conclusion. P20 as the alternative hypothesis, an alpha level of 0.01, and the p-value you found in the previous problem, form a -
MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Use the following information to answer the next two exercises. A new AIDS prevention drug was tried on a group of 224
HIV positive patients. Forty-five patients developed AIDS after four years. In a control group of 224 HIV positive patients,
68 developed AIDS after four years. We want to test whether the method of treatment reduces the proportion of patients that
develop AIDS after four years or if the proportions of the treated group and the untreated group stay the same.
Using HA: P₁ P2 <0 as the alternative hypothesis, an alpha level of
P1
0.01, and the p-value you found in the previous problem, form a
α -
conclusion.
If the drug made no difference, there was only a 1.6% chance of finding the
sample proportions we did. While this is very unlikely, the high medical
standards when working with humans generally requires less than 1%, so the
evidence was not statistically significant enough to determine that the drug
works.
If the drug made no difference, there was only a 0.8% chance of finding the
sample proportions we did. The drug is probably effective.
If the drug made no difference, there was only a 1.2% chance of finding the
sample proportions we did. While this is very unlikely, the high medical
standards when working with humans generally requires less than 1%, so the
evidence was not statistically significant enough to determine that the drug
works.
If the drug made no difference, there was only a 0.6% chance of finding the
sample proportions we did. The drug is probably effective.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F70288f39-79e7-43c6-b2f8-6070e5847224%2Fbbd71308-deef-4b13-8660-0a8605cad91a%2F4guxqf7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Use the following information to answer the next two exercises. A new AIDS prevention drug was tried on a group of 224
HIV positive patients. Forty-five patients developed AIDS after four years. In a control group of 224 HIV positive patients,
68 developed AIDS after four years. We want to test whether the method of treatment reduces the proportion of patients that
develop AIDS after four years or if the proportions of the treated group and the untreated group stay the same.
Using HA: P₁ P2 <0 as the alternative hypothesis, an alpha level of
P1
0.01, and the p-value you found in the previous problem, form a
α -
conclusion.
If the drug made no difference, there was only a 1.6% chance of finding the
sample proportions we did. While this is very unlikely, the high medical
standards when working with humans generally requires less than 1%, so the
evidence was not statistically significant enough to determine that the drug
works.
If the drug made no difference, there was only a 0.8% chance of finding the
sample proportions we did. The drug is probably effective.
If the drug made no difference, there was only a 1.2% chance of finding the
sample proportions we did. While this is very unlikely, the high medical
standards when working with humans generally requires less than 1%, so the
evidence was not statistically significant enough to determine that the drug
works.
If the drug made no difference, there was only a 0.6% chance of finding the
sample proportions we did. The drug is probably effective.
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