Normality Tests

Normality tests are statistical methods used to determine whether a set of data follows a bell-shaped distribution, known as a normal distribution. Many statistical analyses assume data is normal, so these tests help verify that assumption. When you run a normality test, it examines the data’s pattern and gives a result indicating if the data is likely to be normal or not. This helps researchers decide which statistical methods are appropriate for analyzing their data confidently and accurately.