Biostatisticians employ various methods to collect client data. For example, various organizations collect a large amount of public health data that they can analyze and interpret to understand health outcomes and other important client information. A statistically significant clinical study includes statistical summaries of the underlying data and describes how these statistics inform the studyâ€™s conclusions. You should also be able to interpret these statistics to understand and evaluate the study and verify their conclusions.
Choose an article to review from the list in the Module Two Short Paper Journal Articles document. Then evaluate how the data and summary statistics were used by the authors in your chosen article. Provide specific evidence from at least two scholarly sources to support your claims.
Specifically, you must address the following rubric criteria:
- Data Collection Method: Identify the data collection method used in your chosen article. Include the following details in your response:
- Explain why you think the chosen method used is best suited for the purpose of the research.
- Statistical Summary: Interpret the data in the statistical summary table provided in the chosen article. Include the following details in your response:
- Select two variables and interpret their mean and standard deviation. What do they tell you about the data?
- Select two other variables and interpret their frequency and percentage. What do they tell you about the data?
- Significance: Describe the significance of the statistical summary. Include the following details in your response:
- Explain how these statistics inform the conclusions in the article.
- Describe any other conclusions you can draw from these statistics that are not captured in the article.
What to Submit
Your submission should be a 2- to 3-page Word document. You must also include an APA-style title page. Use 12-point Times New Roman font, double spacing, and one-inch margins. Sources should be cited according to APA style.
Lovasi, G. S., Schwartz-Soicher, O., Quinn, J. W., Berger, D. K., Neckerman, K. M., Jaslow, R., Lee, K. K., & Rundle, A. (2013). Neighborhood safety and green space as predictors of obesity among preschool children from low-income families in New York City. Preventive Medicine, 57(3), 189â€“193. https://doi.org/10.1016/j.ypmed.2013.05.012
The article referenced above is the article that I would like referenced in the assignment.