comparing the differences between treatment groups

comparing the differences between treatment groups

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comparing the differences between treatment groups

Running Head: INFERENTIAL STATISTICS 1

INFERENTIAL STATISTICS 3

Inferential statistics in health care

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Inferential statistics are important as they are used for comparing the differences between treatment groups. Various inferential statistics are applicable in healthcare; however, each is appropriate for research. I intend to look at the regression analysis throughout this paper.

The study was conducted to predict the emergency patient volume at the Indianapolis 500 miles race. Therefore, the researcher conducted the research and expected to have some numbers at the end of the study. The research question addresses the problem by trying to find out the population of patients during the race. Additionally, the research held weather conditions into consideration during the investigation. For the methodology, data was collected from the National Oceanic and Atmospheric Administration (Bowdish, Cordell, Bock, & Vukov, 1992). The data was from the patients that were treated between 1983 to 1989 Race Days. This data was collected from the facility hospital. Also, the regression analysis was done using the weather factors and race characteristics as independent variables, and the number of patients used as the independent variable. To test the validity of the model, data from 1990 was used.

` The regressive analysis is beneficial as it shows the relationship between the dependent and the independent variable. Moreover, I found out that regression analysis is ideal for giving forecast and predictions (Gunst, 2018). I looked at the results of the study, and they were as follows, there was a substantial relationship between the dew point and the patient load. Unfortunately, from the result, I found no correlation between wind, sunshine, humidity, number of patients, and race characteristics.

I believe the results of the study were accurate and presents the real picture. Therefore, I recommend that researchers who aim to compare variable always to use the regression analysis as it is useful. Additionally, it gives predictions on the future or likely happenings.

References

Bowdish, G. E., Cordell, W. H., Bock, H. C., & Vukov, L. F. (1992). Using regression analysis to predict emergency patient volume at the Indianapolis 500 mile race. Annals of emergency medicine, 21(10), 1200-1203.

Gunst, R. F. (2018). Regression analysis and its application: a data-oriented approach. Routledge.

 

RUBRIC
Excellent Quality 95-100%	Introduction 45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.		Literature Support 91-84  points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.			Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score 50-85%	40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.		83-76  points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.			52-49  points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality 0-45%	37-1 points The background and/or significance are missing. No search history information is provided.		75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.			48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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