Suppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45- to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. 7.12 Using the critical-value method with α = .05, test the hypothesis that incidence rates of MI changed from 2000 to 2010. 7.13 Report a p-value to correspond to your answer to Problem 7.12. Suppose that 25% of patients with MI in 2000 died within 24 hours. This proportion is called the 24-hour case-fatality rate. 7.14 Of the 15 new MI cases in the preceding study, 5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010 7.15 Suppose we eventually plan to accumulate 50 MI cases during the period 2010–2015. Assume that the 24-hour case-fatality rate is truly 20% during this period. How much power would such a study have in distinguishing between case-fatality rates in 2000 and 2010–2015 if a two-sided test with significance level .05 is planned? 7.16 How large a sample is needed in Problem 7.15 to achieve 90% power? Hi, I need help in 7.14, 7.15, 7.16 the answer of 7.12 and 7.13 as below: 7.12: The test statistic is 1.0067, which is lies between the critical values -1.96 and 1.96. From the decision rule, do not reject the null hypothesis. It can be concluded that the incident rates of MI are same from 2000 to 2010. 7.13: p-value = 0.3141
Suppose the incidence rate of myocardial infarction (MI)
was 5 per 1000 among 45- to 54-year-old men in 2000.
To look at changes in incidence over time, 5000 men in this
age group were followed for 1 year starting in 2010. Fifteen
new cases of MI were found.
7.12 Using the critical-value method with α = .05, test the
hypothesis that incidence rates of MI changed from 2000
to 2010.
7.13 Report a p-value to correspond to your answer to
Problem 7.12.
Suppose that 25% of patients with MI in 2000 died within
24 hours. This proportion is called the 24-hour case-fatality
rate.
7.14 Of the 15 new MI cases in the preceding study,
5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010
7.15 Suppose we eventually plan to accumulate 50 MI
cases during the period 2010–2015. Assume that the
24-hour case-fatality rate is truly 20% during this period.
How much power would such a study have in distinguishing
between case-fatality rates in 2000 and 2010–2015 if a
two-sided test with significance level .05 is planned?
7.16 How large a sample is needed in Problem 7.15 to
achieve 90% power?
Hi, I need help in 7.14, 7.15, 7.16
the answer of 7.12 and 7.13 as below:
7.12:
The test statistic is 1.0067, which is lies between the critical values -1.96 and 1.96.
From the decision rule, do not reject the null hypothesis.
It can be concluded that the incident rates of MI are same from 2000 to 2010.
7.13:
p-value = 0.3141
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