Intro to Biostatistics
The normality assumption is the statistical principle that suggests that the data should follow a normal distribution, especially for certain statistical tests and methods to be valid. This assumption is crucial because many inferential statistical techniques, such as hypothesis testing and confidence interval estimation, rely on the data being normally distributed to produce accurate results.
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