The article introduces a new test for checking if data follows a normal distribution. This test compares the true distribution with the observed one using a special formula. The test is shown to be as effective as other popular tests like Anderson–Darling and Shapiro–Wilk. It works especially well when testing against certain types of distributions, like stable distributions. Overall, this new test is powerful and reliable for checking if data is normally distributed.