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In the field of mathematical modeling, it is important to ensure that the data being used is normally distributed. In order to verify this assumption, a MATLAB program can be used to perform a normality test. Once this has been done, the results can be analyzed and interpreted. It is important to note that a successful test result does not necessarily mean that the data is normally distributed, but rather that it is consistent with a normal distribution. Nevertheless, a positive test result can provide valuable insights into the nature of the data being used, which can in turn inform subsequent modeling efforts. Overall, the use of MATLAB programs for normality testing is a powerful tool for mathematical modeling practitioners.