The article discusses how important it is for statistical methods to assume data follows a normal distribution. Many published results have errors because this assumption is not checked properly. The article explains different ways to check if data is normally distributed, like using graphs or statistical tests. For multivariate data, different tests are used to ensure normality. If data is not normal, other techniques can be used to analyze it accurately.