A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who had

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A study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who had cardiac arrest during the day, 11,604 survived and were discharged. Among 28,155 patients who suffered cardiac arrest at night, 4139 survived and were discharged. We want to use a 0.01 significance level to test the claim that the survival rates are the same for day and night.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
c. Based on the results, does it appear that for in-hospital patients who suffer cardiac arrest, the survival rate is the same for day and night?
Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
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Elementary Statistics

ISBN: 9780321836960

12th Edition

Authors: Mario F. Triola

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