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Disparities Can Be Further Disaggregated in Order to Identify Areas

question 9

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Disparities can be further disaggregated in order to identify areas of need that may be under-addressed. Table 13.4 presents data on death rates per 100,000 by age, race/ethnicity, and sex for 2013. Please refer to Table 13.4 for any questions that contain data from this table. These questions assess your competencies in correctly reading, analyzing and evaluating data on life expectancy disparities.
Disparities can be further disaggregated in order to identify areas of need that may be under-addressed. Table 13.4 presents data on death rates per 100,000 by age, race/ethnicity, and sex for 2013. Please refer to Table 13.4 for any questions that contain data from this table. These questions assess your competencies in correctly reading, analyzing and evaluating data on life expectancy disparities.    -According to the text, which two areas of the country have the highest and lowest life expectancies respectively: A)  Maui County, Hawaii and Owsley County, Kentucky B)  Summit County, Colorado and Oglala Lakota County of South Dakota C)  Caledonia County, Vermont and Union County, Florida D)  Hennepin County, Minnesota and Hinds County, Mississippi E)  None of the above
-According to the text, which two areas of the country have the highest and lowest life expectancies respectively:


Definitions:

Confidence Interval

An array of numerical figures, sourced from sampling data, thought to enclose the value of an unknown characteristic of a population.

Population Mean

The average value of all members of a complete population.

Outliers

Data points that are significantly different from the majority of other data points in a dataset, often indicating measurement error or a novel phenomenon.

Confidence Intervals

A selection of values from statistical samples that has a high chance of including the value of a hidden population attribute.

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