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Recommendations, conclusions and descriptive statistics

1. Can you explain how you might disseminate conclusions and recommendations for the elimination of pre-existing conditions as criteria for non-coverage that affect the public? Can you provide examples to support your explanation? What would you do to ensure that your stakeholders clearly understand your recommendations and are able to effectively implement solutions?
2. Explain one conclusion you might make, with this conclusion in mind, explain one recommendation you might make regarding this issue.
3. Can you provide a description of the descriptive statistics that might work well for the quasi-experimental evaluation design about veterans not receiving appts in a timely manner? Explain how these statistics could be used, and justify why they are appropriate. Would you please share any examples that you have of the use of statistics by public or nonprofit organizations?

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Can you explain how you might disseminate conclusions and recommendations for the elimination of pre-existing conditions as criteria for non-coverage that affect the public? Can you provide examples to support your explanation? What would you do to ensure that your stakeholders clearly understand your recommendations and are able to effectively implement solutions?

The information would be disseminated through media outlets, the research report, and other discussions and presentations the author might make. Conclusions are that information gleaned from the data analysis and hopefully this will support theories or lead to other theories and expand the knowledge of the subject. People, in this scenario, need to understand they can no longer be overcharged or refused coverage based on their previous medical history. People were often turned away for jobs because of previous health issues such as bronchitis, cancer, heart problems. Insurance companies would not insure those creating problems for organizations that offer health insurance as a benefit. Other ...

Solution Summary

This solution discusses how and what conclusions and recommendations to disseminate and how descriptive statistics can help with information on the supplied subject.

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