Normality test [Simply Explained]

One of the most common requirements for statistical test procedures is that the data used must be normally distributed. For example, if a t-test or an ANOVA is to be calculated, it must first be tested whether the data or variables are normally distributed. This is done with a test of normality. If the normal distribution of the data is not given, the above procedures cannot be used and the non-parametric tests, which do not require normal distribution of the data, must be used. How do I test normal distribution? Normal distribution can be tested either analytically or graphically. The most common analytical tests to check data for normal distribution are the: 1) Kolmogorov-Smirnov Test 2) Shapiro-Wilk Test 3) Anderson-Darling Test For the graphical test either a histogram or the Q-Q plot is used. Q-Q stands for Quantile Quantile Plot, it compares the actual observed distribution and the expected theoretical distribution. Normality test https://datatab.net/tutorial/test-of-normality Statistics Calculator: https://datatab.net/statistics-calculator/descriptive-statistics