Understanding Normality Testing

Evaluating the normality test is often confusing. This video explains how the p-value statistic generated from an Anderson-Darling normality test is interpreted. A normality test is a hypothesis test and the p-value is critical for decision making.

Category:

Education

Tags:

• normality test
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• anderson darling test
• anderson-darling test
• p value
• p-value
• hypothesis test
• normality
• educate virtually
• educatevirtually
• how to
• test for normal data
• normal data test
• normal data
• normal

[naajix]

thank you dude...

[ronyprelude25]

the last few words were the words that I needed to know just to be sure that I understand the p-values. Thank you for your last two lines where you mention that we want lower p-values to detect differences between two experiments and higher p-values to know if our data is normally distributed. Very well explained.

[FashGrad]

the p is low the null must go. hahahaha

[aldezmail]

Life saver

[cutegirlalways1]

hope can hear more clearly..can't hear the explanation.

[kundalini1964]

would be nice to actually see how the P value is obtained in this example

[kundalini1964]

very good...