Obesity

Obesity and Asthma Research Method Part III

Obesity and Asthma Research Method Part III
Statistical Analysis
      The review of the statistical analysis of the data Blue Cross Blue Shield (BCBS) received after performing their survey will enable them to have better information. Although they will ultimately use that data to determine if there should be increase in funding for programs that provide health care screening in children, it will also serve as another focus. A statistical analysis of our survey could also be useful for evaluating our current environment and making decisions that influence daily operations as well as the strategic position of BCBS.
The examination of the association of one variable to another is a task that the administrators at BCBS must take. For example, if the funding for early childhood health care issues remains the same, it is possible that the statistical outcome of children suffering from illnesses will increase. We may communicate the expression by claiming that on average the outcome of children diagnosed with early childhood illnesses in the programs current state is equal to or less than that of the same program with additional funding.
Administrators examine this claim, to decide if a difference is statistically significant. We will represent the null hypothesis by Ho, and Ha will represent the alternate hypothesis. When comparing the current program funding state as it is today with a similar program with more funding and resources, let CPF represent the current program funding. Let APF represent a program with additional funding and resources. As this is the case, we may express the null hypothesis as Ho: CPF < APF; Ha: CPF > APF will express the alternate hypothesis. By providing statistical analysis we expect to gain an insight that would better prepare BCBS to make decisions based on statistical data.

Potential Challenges

There are several vital confront exist to execute management research with an...