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1 page/≈550 words
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1 Source
Level:
APA
Subject:
Literature & Language
Type:
Essay
Language:
English (U.S.)
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MS Word
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Topic:
Statistics in healthcare (Essay Sample)
Instructions:
This is an opportunity for you to evaluate the effectiveness of inferential statistics in health care. Please respond in first person, share personal experiences, and ask questions to further develop your understanding of how to analyze a data set using inferential statistics.
Select the articles listed below and answer the following questions. Note that the link for each article will take you to the abstract. You will then need to click on "download PDF" to get the full article.
What is the quantitative problem statement?
What is the quantitative purpose statement?
What are the quantitative research questions and hypotheses?
How was the data collected?
How was the data analyzed?
What was the benefit of using the selected statistical test?
What was the outcome of the study?
Ward, R. M., Popson, H. C. & DiPaolo D. G. (2010). Defining the Alpha Female: A Female Leadership Measure. Journal of Leadership & Organizational Studies, 17(3), 309–320.
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Content:
Statistics in Health Care
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Statistics in Health Care
1 The quantitative problem statement was to study how many people in the United States have been affected by Tuberculosis (TB).
2 The qualitative purpose statement was to develop a good policy for stopping TB infection in groups affected by the situation.
3 Some quantitative research questions include the following; did the communities which failed to participate in the study, were they not at home? Did the clinical officers who performed field study leave their printed information and come later after some days? Did the people of participated in the study were they supposed to be one year older? Communities were not qualified to participate in the study if they had a prior isoniazid preventive treatment (ITP), a positive TST, or a history of TB?
4 The data for the study was collected through mapping all Tuberculosis cases from 1985 to 1995 and taking all positive TST reactors from 1993 to 1995. Also, we defined the greatest clusters and identified the highest incidences where we trained clinical officers to perform door-to-door services to all communities (Ward et al., 2010). All positive Tuberculin skin test (TST) people were directed to a mobile clinic for clinical evaluation and radiography.
5 The analysis for the study was done through Fisher’s test and curled Pearson chi-square test to relate the cumulative occurrence and magnitudes of all individuals who are affected. In other words, the analysis for the study focused on subsequent TB occurrence, TST reactions, participation of individuals, and isoniazid treatments (Ward et al., 2010). Additionally, the Wilcoxon rank-sum test and multivariate logistic regression were used to relate and determine all independent variables used during the study.
6 The statistical test used above was very important since the field workers could determine how all independent variables used during the study affect the increase of Tu...
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