to survive a heart attack, the researchers reported the ages of the two groups they examined. The mean age of 2397 patients without cardiac disease was 69.8 years (SD = 8.7 years), while for the 450 patients with cardiac disease, the mean and standard deviation of the ages were 74.0 and 7.9, respectively. a) Create a 95% confidence interval for the difference in mean ages of the two groups. b) How might an age difference confound these research findings about the relationship between depression and ability to survive a heart attack?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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R5.17. Age In a study of how depression may affect one's ability
to survive a heart attack, the researchers reported the ages of
the two groups they examined. The mean age of 2397 patients
without cardiac disease was 69.8 years (SD = 8.7 years),
while for the 450 patients with cardiac disease, the mean
and standard deviation of the ages were 74.0 and 7.9,
respectively.
a) Create a 95% confidence interval for the difference in
mean ages of the two groups.
b) How might an age difference confound these research
findings about the relationship between depression and
ability to survive a heart attack?
Transcribed Image Text:R5.17. Age In a study of how depression may affect one's ability to survive a heart attack, the researchers reported the ages of the two groups they examined. The mean age of 2397 patients without cardiac disease was 69.8 years (SD = 8.7 years), while for the 450 patients with cardiac disease, the mean and standard deviation of the ages were 74.0 and 7.9, respectively. a) Create a 95% confidence interval for the difference in mean ages of the two groups. b) How might an age difference confound these research findings about the relationship between depression and ability to survive a heart attack?
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