How to Check the Sample Data follows Normal Distribution - Normality Test, Why is it Important?

This video explains about How to Check the Sample Data follows Normal Distribution - Normality Test, Why is it Important?

How to decide which test to use??
1. Parametric test is suitable for normally distributed data.
2. Non-Parametric test is suitable for any continuous data, based on ranks of the data values.

Methods for Normality testing
Graphical Methods:

Histogram Plot
Quantile-Quantile Plot [Q-Q Plot]

Statistical Tests:
Shapiro-Wilk Test
D’Agostino K2 Test
Anderson-Darling Test

Timestamp:
00:19 - Introduction
00:45 - How to decide which test to use?
01:17 - Parametric test
01:39 - Methods for Normality testing
02:05 - Result Interpretation
03:14 - Statistical test

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