Transforming non normality data in SPSS

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Learn how to transform non normally distributed data into normally distributed using different mathematical procedures using IBM SPSS. @RKVarsity
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Very well made tutorial, simple and very informative

zuzaprintables
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Thank you so much for sharing, sir!
I have a question. If the data is still not normally distributed after transformation, what should I do?
It would be appreciated if you could answer me. Thank you!

cailawrance
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amount spent in NZ does not look normally distributed, it looks positively skewed.

maheensiddiqui
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Thank you so much. It's very helpful.

attaullah
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How do you choose which "method" of transformation you will use. You showed us several.

riase
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The second variable is positively skewed. I don't get why it was not transformed.

riase
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Hello, thank you for this video. My skewness and kurtosis was between -1 and 1 for the square root transformation instead of the log 10 transformation. Can I use the square root transformation for multiple regression?

megn
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If the p-value is less than 0.001 (so the data is non-normally distributed), but the kurtosis and skewness falls between ± 1.0, does it need to be transformed to normal distributed data?

celestecortes
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Thank you sir for your valuable lecture. But now I have a question that is....
When I will regression analysis then what data will I consider?
Original data or transform data. Please reply.

krishnasamaddar
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When we transform the data something like mean and standard deviation is being changed in the new transformed variable,
So how we can report the results For example in an article?

amirhusseinpoudineh
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If the data is obtained from a questionnaire using 5 level Likert scale and it is not normally distributed, can i do the same steps you explained here?

bellisma