m having some trouble with this homework question and the steps to fully understand it. choices for the first - ( aspirin or control )? choices for the second - ( one-fifth, half, four-fifths, or twice )? choices for the third - ( does or doesn't )?
m having some trouble with this homework question and the steps to fully understand it. choices for the first - ( aspirin or control )? choices for the second - ( one-fifth, half, four-fifths, or twice )? choices for the third - ( does or doesn't )?
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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I am having some trouble with this homework question and the steps to fully understand it.
choices for the first - ( aspirin or control )?
choices for the second - ( one-fifth, half, four-fifths, or twice )?
choices for the third - ( does or doesn't )?

Transcribed Image Text:An article in the New York Timest reported that heart attack risk could be reduced by taking aspirin. This conclusion was based on a designed experiment involving both a control group of individuals that took a
placebo having the appearance of aspirin but known to be inert and a treatment group that took aspirin according to a specified regimen. Subjects were randomly assigned to the groups to protect against any biases
and so that probability-based methods could be used to analyze the data. Of the 11,034 individuals in the control aroun
---Select--- v group had a heart attack. The incidence rate of heart attacks in the treatment group was only abou v ---Select---
that aspirin really ---Select- v have the desired effect and the observed difference is just typical variation in the
in this case, inferential methods suggest that chance variation by itself cannot adequately explain the magnitude
Example 1.4
100 cubcequently experienced heart attacks, whereas only 104 of the 11,037 in the
at in the control group. One possible explanation for this result is chance variation-
ssing two identical coins would usually produce different numbers of heads. However,
one-fifth
ifference.
half
Need Help?
four-fifths
Read It
twice

Transcribed Image Text:An article in the New York Timest reported that heart attack risk could be reduced by taking aspirin. This conclusion was based on a designed experiment involving both a control group of individuals that took a
placebo having the appearance of aspirin but known to be inert and a treatment group that took aspirin according to a specified regimen. Subjects were randomly assigned to the groups to protect against any biases
and so that probability-based methods could be used to analyze the data. Of the 11,034 individuals in the control group, 189 subsequently experienced heart attacks, whereas only 104 of the 11,037 in the
---Select--- v group had a heart attack. The incidence rate of heart attacks in the treatment group was only about | ---Select--- v that in the control group. One possible explanation for this result is chance variation-
that aspirin really ---Select--- v have the desired effect and the observed difference is just typical variation in the same way that tossing two identical coins would usually produce different numbers of heads. However,
in this case, inferential methods suggest that chance variation by itself cannot adequately explain the magnitude of the observed difference.
Example 1.4
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