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
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
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
Section: Chapter Questions
Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...
Related questions
Question
- 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

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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