What are normality tests in statistics?
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What are normality tests in statistics?
Normality tests are statistical tests used to determine if a dataset follows a normal distribution.
Why is it important to check for normality?
Checking for normality is crucial because many statistical methods assume that the data is normally distributed.
Can you give me examples of normality tests?
Sure! Common normality tests include the Shapiro-Wilk test, Kolmogorov-Smirnov test, and Anderson-Darling test.
How do I interpret the results of a normality test?
If the p-value is less than your significance level (e.g., 0.05), you reject the null hypothesis, indicating the data is not normal.
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