The article introduces a new test for checking if data follows a normal distribution. This test compares the true and observed moment generating functions. Results from simulations show that this new test is as effective as other well-known tests like Anderson–Darling and Shapiro–Wilk. It performs especially well when testing against stable distributions and symmetric distributions with slightly higher kurtosis than normal distributions.