Statistically Significant: Checking Normality for Distinctive Inferences
Identifying when data is normally distributed is a statistical technique that enables researchers and analysts to make inferences from the sample data to the larger population. This knowledge is essential for many statistical analyses, such as hypothesis testing, confidence interval estimation, and regression analysis. There are several ways to check if data is normally distributed….