What trends you see in the data - Explain how the error bars support what you are saying - Why does the data show what it does and what might you do to explore thoses hypotheses - What are some public policy responses / issues

Biology 2e
2nd Edition
ISBN:9781947172517
Author:Matthew Douglas, Jung Choi, Mary Ann Clark
Publisher:Matthew Douglas, Jung Choi, Mary Ann Clark
Chapter45: Population And Community Ecology
Section: Chapter Questions
Problem 31CTQ: The CDC released the following data in its 2013 Vital Statistics report. Age interval Number dying...
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- What trends you see in the data

- Explain how the error bars support what you are saying

- Why does the data show what it does and what might you do to explore thoses hypotheses

- What are some public policy responses / issues 

Deaths per 100,000 population
20
15.
10
5
0
Total
Urban
Rural
H
Both sexes
H
Male
Sex
* Deaths per 100,000 population are age-adjusted to the 2000 U.S. standard population with 95% confidence
intervals indicated by errors bars.
Female
* Deaths attributed to influenza and pneumonia were identified using International Classification of Diseases,
Tenth Revision underlying cause-of-death codes J09-J18.
5 Counties were classified using the 2013 National Center for Health Statistics urban-rural classification scheme
for counties. https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf
Transcribed Image Text:Deaths per 100,000 population 20 15. 10 5 0 Total Urban Rural H Both sexes H Male Sex * Deaths per 100,000 population are age-adjusted to the 2000 U.S. standard population with 95% confidence intervals indicated by errors bars. Female * Deaths attributed to influenza and pneumonia were identified using International Classification of Diseases, Tenth Revision underlying cause-of-death codes J09-J18. 5 Counties were classified using the 2013 National Center for Health Statistics urban-rural classification scheme for counties. https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf
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