1) "Formal sample size issues are important only in academic (enumerative) statistics. In analytic statistics, the answer to "How much data?\" is "Enough to characterize the underlying situation.\" (2019, Nash et al., pp. 155-156) Why is this the case? How is academic/research statistics fundamentally different from analytic situation such as this? An analytical study is one in which action is taken on a cause system to enhance the future performance of the system of interest. An enumeratiye study strives to evaluate, while an analytical study concentrates on prediction (Provost, 2011). The variety of examinations into enumerative and analytical categories depends on the planned target for action as the impact of the analysis. Research is nding information, while analysis is assessing and analyzing that information to make informed decisions. Analysis is imperative in decision-making, providing context and insights to support informed choices. Good research is essential to practical analysis, but more than research is needed to inform decision-making. While analysis can be time-consuming and resource-intensive, it is essential for creating educated decisions based on data. A large sample size is required in academic statistics to draw a more precise determination. If the analysis has a large sample size. the nding should be precise, and the margin of error should be low. Analytic statistic methods. such as the Pareto Analysis method, allow researchers to concentrate on the root cause of the problem. This type of analysis aims to reveal more deeply hidden special causes and allow for a focus on 20 percent of the inputs causing 80 percent of the problems (Nash... & Ransom, 2019). Concentrating and scheming the totals on a Pareto chart, researchers can quickly identify the problems and estimate the impact of taking disciplinary steps. Reference Nash D. B. Joshi M. Ransom E. R. & Ransom S. B. (2019). The healthcare quality book: vision strategy and tools (Fourth). Health Administration Press. Provost L. P. {2011). Analytical studies: a framework for quality improvement design and analysis. BMJ quality 6} safety. 20 Suppl 1(Supp|_1). i92i96