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Normality Tests in Hypothesis Testing by debidash2007 is a document available to read on EtoBox.
What is Normality Tests in Hypothesis Testing about?
The document discusses four normality tests used in hypothesis testing, including the Shapiro–Wilk test, Anderson–Darling test, and D’Agostino K² test. It matches these tests to sample size ranges: Shapiro–Wilk for n < 50, Anderson–Darling and D’Agostino for 50 < n < 100, and D’Agostino K² for very large samples (n > 5000). Additionally, it explains that normality tests should be avoided when sample sizes are too small or when data is heavily skewed.
- Author
- debidash2007
- Language
- EN