Many statistical analyses are based on the assumption that the data are distributed normally.

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Many statistical analyses, such as t-tests and ANOVA, assume that the data being analyzed are normally distributed. This assumption is typically checked using statistical tests such as the Shapiro-Wilk test or visual inspection of a histogram or Q-Q plot. However, there are also techniques that can be used to analyze non-normal data, such as non-parametric tests or transformations of the data.

Many Statistical Analyses Are Based on the Assumption That the Data