Test normality assumption spss manual

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The Kolmogorov-Smirnov normality test examines if variables are normally only needed for small sample sizes if the aim is to satisfy the normality assumption.
The Shapiro-Wilk test examines if a variable is normally distributed in a population. t-tests and regression- require the normality assumption: variables must be
A lot of statistical tests (e.g. t-test) require that our data are normally distributed and therefore we should always check if this assumption is violated. Example
How to test for normality in the SPSS statistics package (including This quick tutorial will explain how to test whether sample data is normally the results of the statistical tests, and we’re safe in assuming that our data is normally distributed.
Logistic Regression Tutorial for SPSS — for research in Medicine, Clinical that a parametric procedure that assumes normality (e.g. a t-test) can be safely used.
He is currently a Medical Writer and a former Postdoctoral Research Associate. Enjoyed the tutorial? Then let me know by leaving a comment below, or consider

Step-by-step instructions for using SPSS to test for the normality of data when tests because normal data is an underlying assumption in parametric testing.

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