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Surgeons at a research hospital are testing a new anesthesia drug. They want to see if there is a decrease in the percentage of adults who are still awake five minutes after the new anesthesia drug is administered as compared to the current anesthesia drug. The surgeons gather a sample of 200 people and give each person the current drug (sample A). Twenty people from that sample were still awake five minutes after the drug was administered. The medical researchers then gathered another random sample of 200 people and gave each person the new drug (sample B). Twelve people from that sample were still awake five minutes after the drug was administered. The surgeons are interested in whether they can conclude that new drug is more effective than the current drug. Assume all checks have been verified. Note: a drug is considered more effective if fewer people are awake after five minutes of administration of the drug.
If the p-value for the test is 0.0708, what would be the test statistic for the test?
a) 1.073
b) 1.470
c) 1.670
d) 1.960
e) Can't answer the question based on the information given.
The following data designate whether patients in two groups (experimental and control) have complied with a medication regimen (1=yes, 2=no).
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Based on your results in part (a), is it sensible to examine and interpret the main effects of drug and of dose?
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Repeat part (a), but with an interaction term included. Interpreting the R2 value, to what extent has inclusion of the interaction term improved the model's explanatory power?
For the last problem, what is the minimum number of observations that must be altered so that the trimmed mean is greater than 1,000?
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