The objective of this article is to determine the normality of the data, using four types of tests, namely Anderson-Darling, Ryan-Joiner, Shapiro-Wilk, and Kolmogórov-Smirnov, applied to the sample data from the production record of the company under study, located in the city of Ambato, Ecuador. These tests allow determining whether the population from which the sample was obtained follows the normal distribution, an identification that is key for the application of the appropriate statistical procedure for the analysis of the data in a given study and for the corresponding hypothesis testing when required that, previously the assumption of normality of the data has been verified. On the other hand, this research demonstrates the applicability and usefulness of these tests to business case studies, which can be supported by specialized IT tools that speed up processing times and save significant costs for organizations, particularly in complex scenarios, such as the one generated by the current COVID-19 crisis.