This is an opportunity for you to evaluate the effectiveness of inferential statistics in health care. Please respond in the first person, share personal experiences, and ask questions to further develop your understanding of how to analyze a data set using inferential statistics.

Using the University Library, locate one of the following articles below* and answer the following questions:

1. What is the quantitative problem statement?
2. What is the quantitative purpose statement?
3. What are the quantitative research questions and hypotheses?
4. How was the data collected?
5. How was the data analyzed?
6. What was the benefit of using the selected statistical test?
7. What was the outcome of the study?

Haws, K. L., & Winterich, K. (2013). When value trumps health in a supersized world. Journal of Marketing, 77(3), 48-64.

Santry, H. P., Collins, C. E., Wiseman, J. T., Psoinos, C. M., Flahive, J. M., & Kiefe, C. I. (2014). Rates of insurance for injured patients before and after health care reform in Massachusetts: A possible case of double jeopardy. American Journal of Public Health, 104(6), 1066-1072. doi:10.2105/AJPH.2013.301711

Cegielski, J., Griffith, D. E., McGaha, P. K., Wolfgang, M., Robinson, C. B., Clark, P. A., & ... Wallace, C. (2014). Eliminating tuberculosis one neighborhood at a time. American Journal of Public Health, 104(S2), S225-S233. doi:10.2105/AJPH.2012.300781

Wyshak, G. (2014). Height, socioeconomic, and subjective well-being factors among U.S. women, ages 49-79. Plos ONE, 9(6), 1-17. doi:10.1371/journal.pone.0096061

*Please note: You are permitted to substitute an article of your choice with instructor approval.

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