Healthcare Analytics Data

Date Description:
This   datasheet presents the age-adjusted death rates for the 10 leading causes of   death in the United States beginning in 1999. Data are based on information   from all resident death certificates filed in the 50 states and the District   of Columbia using demographic and medical characteristics. Age-adjusted death   rates (per 100,000 population) are based on the 2000 U.S. standard   population. Populations used for computing death rates after 2010 are   postcensal estimates based on the 2010 census, estimated as of July 1, 2010.   Rates for census years are based on populations enumerated in the   corresponding censuses. Rates for non-census years before 2010 are revised   using updated intercensal population estimates and may differ from rates   previously published. Causes of death classified by the International   Classification of Diseases, Tenth Revision (ICD–10) are ranked according to   the number of deaths assigned to rankable causes. Cause of death statistics   are based on the underlying cause of death    

   
Purpose
To evaluate data using basic statistical tools.

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Overview
The focus of this assignment is on using inferential statistics to confirm the statistical significance of a change in performance. You will evaluate selected data sets using basic statistical tools.

Evaluate the data using basic statistical tools:
· Conduct hypothesis testing (either traditional method or p-value method).
· Conduct t-testing; choose the appropriate method(s) based on the data you are testing:
o A one-sample t-test 
o A two-sample t-test
o An independent t-test
o A dependent t-test

· Interpret the results of your statistical testing, including your observations about statistical significance.

· Discuss how the results of your statistical testing might be used as a foundation for organizational improvements

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