Choosing Between the Kolmogorov-Smirnov and the Shapiro-Wilk Tests of Normality using SPSS

This video addresses choosing between the Kolmogorov-Smirnov and Shapiro-Wilk normality tests using SPSS. A review of normality testing through several methods is conducted, including skewness, kurtosis, histograms, and Q-Q plots.

[@martinestrubia]

Thanks you for this video, when you complete the analysis whit the histogram and q-q plots, Shapiro - Wilk really take relevance.

[@joseliz8762]

this video was informative and built on my knowledge of statistics. thank you

[@suzgen7323]

Video is helpful to see the steps in SPSS to view the comparison. It seems that the choice most likely is going to be the Shapiro-Wilk over the Kolmogorov-Smirnov in most cases.

[@grahamwest1079]

Thank you for that very useful and valuable tutorial. I wish you would have said whether or not you would have carried out an ANOVA or a Mann-Whitney, which would have been even more helpful, and how you would justify which one you would have chosen.

[@krystleclear14]

Learning to interpret the data is something I will need to work on. I would need a reference list in order to preform these tests.

[@alejandracoronaromer]

Great video. Thank you!

[@DrGrande]

You're welcome - thanks for watching -

[@joanaattafuah5186]

Thanks for the video. It was helpful.
However,for my work, my factors were male and female; the p-value for the male was 0.001 and that of the female was 0.157.......with this do I conclude that the data was normally distributed or not?

[@yassersoliman5536]

Suppose that I have just 3 cases for each category what is the best way to detect the normality

[@whiteshadow59]

I heard that samples over 50 it's better to inspect the KS test

[@Lidião666]

very helpful! Thanks Professor!

[@Nastea90]

thx

[@DripFiend101]

What happens when they are differences between Kolmogorov and Shapiro for normality testing