would help nurses whenever they would decide to undertake an investigation that includes the collecting, processing, interpretation and analysis of data and reports on their own account. However, statistics have limitations; it does always prove anything, instead it presents the likelihood of the things to happen based on the result of an investigation (Fowler, Chevannes and Jarvis, 2002). During health care investigation, the following methodologies are usually utilized; sample survey, clinical trials and epidemiology studies. These types of methodologies are usually used with sample population. In statistics, population means a group or collection of individuals who are the subject of investigation. Variables entails the different characteristics of individuals such as age, weight, height, manifestation of symptom’s and economic status which relates to the health condition of the individual. Since it hard to get all the population to be involved, nurses may use smaller groups who will represent the group as a whole. This group is known as the sample i.e. statistics is a measurement describing some characteristic of a sample. Observation would be based on the measurement of each sample infant included in the health investigation. Research which aims to explain the elucidate the relationship among the variables are more complex than other descriptive studies. For these studies, they are often based on establishing theories from other research literature. The application of statistics is significant in quality, safety, health promotion and leadership because it leads to implementing evidence base practice. As cited by Thor, J., Lundberg, J., Ask, J., Olsson, C., Harenstam, K., & Brommels, M., “Quality improvement (QI) practices represents a leading approach to the essential, and often challenging, task of managing organizational change”. Applying statistical process control in safety is the key approach to quality improvement. The use of statistical methods in quality improvement takes many forms 3
Statistical Application in Health Care such as hypothesis testing, regression analysis, statistical process control and design and analysis of experiments. The article Application of statistical process control in health care improvement: systematic review, “conducted a study reviewing the literature on how statistical process control, with control charts as a core tool, has been applied to health care quality improvement, and to examine the benefits, limitations, barriers and facilitating factors related to such applications” (Puff). The study reported that statically the process controls improved health care processes and
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