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Pearson's correlation coefficient and the U.S. Statistical Abstracts (2012) : poverty and infant mortality across the U.S.

This dataset example introduces Pearson's correlation coefficient, a measure of association between two continuous variables. Pearson's correlation coefficient measures the positive or negative linear relationship between two continuous variables. This example uses a subset of data from th...

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Bibliographic Details
Format: eBook
Language:English
Published: London SAGE Publications, 2015.
SAGE Publications Ltd.
Subjects:
Correlation (Statistics)
Research > Statistical methods.
Research > Statistical methods > Case studies.
Infants > Mortality > United States > Statistics.
Poverty > United States > Statistics.
Corrélation (Statistique)
Recherche > Méthodes statistiques.
Recherche > Méthodes statistiques > Études de cas.
Nourrissons > Mortalité > États-Unis > Statistiques.
Pauvreté > États-Unis > Statistiques.
correlation.
Infants > Mortality
Poverty
Research > Statistical methods
United States
Case studies
Statistics
Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset example introduces Pearson's correlation coefficient, a measure of association between two continuous variables. Pearson's correlation coefficient measures the positive or negative linear relationship between two continuous variables. This example uses a subset of data from the U.S. Statistical Abstracts, 2012, looking specifically at infant mortality and poverty rates across the 50 U.S. states plus Washington DC as measured in 2007. Analysis like this might help researchers and policy makers better understand the link between poverty and adverse health outcomes.
Physical Description:1 online resource : illustrations (black and white, and colour)
Audience:Specialized.
ISBN:1473947405
9781473947405