Normality checking of a data set using spss

• If the test value or p-values are less than 0.05 then the test is significant and the data not follow the normal distribution.
• If the test value is equal or greater than 0.05 then the test is not significant and the data follow the normal distribution.

Normality checking procedure using SPSS

Histogram

Normality check

1. we have the following data set–

data set

Data set

2. First we have to go to Analyze→→ Descriptive statistics →→Explore

EXplore

Explore

3. Drag the working variable into the Dependent list and click on Plot.

Plots

Explore

4. Select Histogram and Normality plot with test and click on Continue.

Normality plot

Select histogram & normality polt

5. click on OK

Click on OK

6. Now we can see the output window.

Test of normality table

From the above table we can see that the p-values for the first random variable is .139 and .029 respectively. Here one value is less than 0.05 so the first variable not follow the normal distribution.
And the second variable where p-vales are .200 and .106 respectively which are greater than .05, so the second variable follow the normal distribution.

Histogram-1

Histogram-2

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