Shapiro-Wilk Test

The Shapiro-Wilk Test is a statistical method used to determine if a set of data is approximately normally distributed, meaning its pattern resembles a bell curve. It compares the data to the ideal bell-shaped pattern and calculates a value called a test statistic. If this statistic indicates a significant difference from normality, it suggests the data isn't normally distributed. This test is useful because many statistical analyses assume normality, helping researchers decide whether those methods are appropriate for their data.