ShapiroWilktestillä
Shapiro-Wilk test, also known as Shapiro-Wilk W test, is a statistical test used to determine whether a sample comes from a normally distributed population. It is one of the most powerful tests for normality and is widely used in various fields, including statistics, data analysis, and quality control. The test was developed by Samuel Sanford Shapiro and Martin Wilk in 1965.
The Shapiro-Wilk test is based on the comparison of the sample data with the expected values from
The Shapiro-Wilk test is particularly useful when the sample size is small, as it is more sensitive
In summary, the Shapiro-Wilk test is a robust and widely used method for assessing the normality of