The presentation contains the stepwise procedure to conduct chi square goodness of fit test (expected ratio) using IBM SPSS.

1. Chi Square Goodness of Fit Test
(Expected Ratio)
(Procedure and Output in SPSS)

2. Data View
Data view represents the
cases/data points for
different variables.

3. Variable View
Variable view represents the
properties of all variables.
One can toggle between
data and variable view with
the shortcut ctrl + t.

4. Step 1
Weighting Data:
Go to the Data tab in Menu
bar, click on Weight cases

5. Step 2
Click on the variable
that has frequencies
and drag it to
Frequency Variable box
then Click Ok to run
the process.

6. Step 3
Click on Analyze tab of
Menu bar, click
Nonparametric Tests,
then Legacy dialogs
and select Chi square
to run the Goodness of
fit test

7. Step 4
In this dialog box you
select variable for
which you want to run
Goodness of Fit Test.
Select the Variable and
drag it in the Test
Variable list box.

8. Step 5
Select “values” in the
expected value box
and add expected
values by manually
typing and clicking on
Add button.
Info: Our expected value is given
in the “Exp_Num_Pref” variable.
We need to manually enter the
values

9. Step 6
Click on Options
button to select
statistics to calculate.

10. Step 7
Select Descriptive and
Quartiles in the
statistics box and click
on Continue button

11. Step 8
Click on Ok button to
run the Goodness of
Fit Test.

12. Frequencies
In this Table Observed
and Expected
Frequencies are given
with residuals.

13. Goodness of Fit Test
This table displays Pearson
chi square statistics with
it’s associated degree of
freedom and significance
value. It tests the
hypothesis that the
distribution of cases in a
single categorical variable
follows a known or
hypothesized distribution

14. Developed and designed by:
Address: Mau - Chitrakoot
Contact: unexplordsolutions@gmail.com