Normality checking of a data set using spss (data analysis part-11)



Introduction:

Normality checking is a procedure of check the normality of our working data set. Basically we check the normality using histogram. If the shape of the histogram is bell shaped then the data set follow the normal distribution. We also use the normality table including kolmogrov-smirnov test and shapiro-wilk test value.

  • 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.


SPSS procedure:


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.
norality plots
Select histogram & normality polt

5. click on OK
explore
Click on OK



6. Now we can see the output window.


test result



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
Histogram-1

histogram 2
Histogram-2


How to analyze data using SPSS (for beginners)-part 1
How to analyze data using SPSS (part-2), how to input data in SPSS
How to analyze data using SPSS (part-3), how to import data in SPSS from excel file
How to analyze data using SPSS (part-4), how to sort data in SPSS
How to analyze data using SPSS ( part-5) how to merge file in SPSS?
How to analyze data using SPSS ( part-6), how to merge file in SPSS
How to analyze data using SPSS (part-7), Finding missing values, Replacing missing values, Coding missing values in SPSS
How to analyze data using SPSS (part-8), variable transformation, Recoding variables in spss
Bivariate analysis| How to analyze data using spss (part-10)
Normality check| how to analyze data using spss (part-11)

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