ኖርማሊቲ Test የምንለው ምንድነው?How to test Data Normality in SPSS/Amharic tutorial normally distributed

This video demonstrates how to test data for normality using SPSS. The Kolmogorov-Smirnov and Shapiro-Wilk tests are discussed.
If data need to be approximately normally distributed, this tutorial shows how to use SPSS to verify this. On a side note: my new project: http://howtowritecitations.com.

Statistical analyses often have dependent variables and independent variables and many parametric statistical methods require that the dependent variable is approximately normally distributed for each category of the independent variable.

Let us assume that we have a dependent variable, exam scores, and an independent variable, gender.

In short, we must investigate the following numerical and visual outputs (and the tutorial shows how to do just that):
-The Skewness & kurtosis z-values, which should be somewhere in the span -1.96 to +1.96;
-The Shapiro-Wilk p-value, which should be above 0.05;
-The Histograms, Normal Q-Q plots and Box plots, which should visually indicate that our data are approximately normally distributed.

Remember that your data do not have to be perfectly normally distributed. The main thing is that they are approximately normally distributed, and that you check each category of the independent variable. (In our example, both male and female data.)
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