CONFIDENCE INTERVALS FOR THE DIFFERENCE IN 2 POPULATION PROPORTIONS Pharmaceutical scientists tested the effectiveness of a new drug designed to cure malaria. They recorded the proportion of rats that were cured when given the existing drug (sample 1 proportion) and the proportion of rats that were cured when given the new drug (sample 2 proportion). The 95% confidence interval for the difference in the proportion of cured rats between these two groups was (-0.18, -.005). Interpret this interval. O p1 is substantially more than p2, therefore we can be 95% confident that the proportion of rats cured is substantially higher when given the existing drug verses the new drug. O p1 is substantially less than p2, therefore we can be 95% confident that the proportion of rats cured is substantially higher when given the new drug verses the existing drug. O p1 is similar to p2, therefore we can be 95% confident that the proportion of rats cured is similar, whether given the new drug or the existing drug.
CONFIDENCE INTERVALS FOR THE DIFFERENCE IN 2 POPULATION PROPORTIONS Pharmaceutical scientists tested the effectiveness of a new drug designed to cure malaria. They recorded the proportion of rats that were cured when given the existing drug (sample 1 proportion) and the proportion of rats that were cured when given the new drug (sample 2 proportion). The 95% confidence interval for the difference in the proportion of cured rats between these two groups was (-0.18, -.005). Interpret this interval. O p1 is substantially more than p2, therefore we can be 95% confident that the proportion of rats cured is substantially higher when given the existing drug verses the new drug. O p1 is substantially less than p2, therefore we can be 95% confident that the proportion of rats cured is substantially higher when given the new drug verses the existing drug. O p1 is similar to p2, therefore we can be 95% confident that the proportion of rats cured is similar, whether given the new drug or the existing drug.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 3BGP
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Transcribed Image Text:CONFIDENCE INTERVALS FOR THE DIFFERENCE IN
2 POPULATION PROPORTIONS
Pharmaceutical scientists tested the effectiveness of a new
drug designed to cure malaria. They recorded the proportion
of rats that were cured when given the existing drug (sample
1 proportion) and the proportion of rats that were cured
when given the new drug (sample 2 proportion). The 95%
confidence interval for the difference in the proportion of
cured rats between these two groups was (-0.18, -.005).
Interpret this interval.
O p1 is substantially more than p2, therefore we can be 95%
confident that the proportion of rats cured is substantially higher
when given the existing drug verses the new drug.
O p1 is substantially less than p2, therefore we can be 95%
confident that the proportion of rats cured is substantially higher
when given the new drug verses the existing drug.
O p1 is similar to p2, therefore we can be 95% confident that the
proportion of rats cured is similar, whether given the new drug
or the existing drug.
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