Testing For Normality - Clearly Explained

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In this video, I will provide a clear overview of normality testing data. Testing for normality is an important procedure to determine if your data has been sampled from a normal (Gaussian) distribution.

There are two main ways that are commonly used to deduce whether data have been sampled from a normal distribution: analysis of graphs (eg, Q-Q plots and frequency distributions) and performing normality tests (eg, Shapiro-Wilk test).

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