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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 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 -

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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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.
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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