Chi Square Test for Independence

Chi Square Test for Independence is located under Model Studio (

) in Hypothesis Test, in Statistical Analysis, in the left task pane. Use the drag-and-drop method to use the algorithm in the canvas. Click the algorithm to view and select different properties for analysis. Refer to Properties of Chi Square Test for Independence.

Properties of Chi Square Test for Independence

The available properties of the Chi Square Test for Independence are as shown in the figure given below.

The table below describes the different fields present on the Properties pane of the Chi Square Test for Independence.

Field		Description	Remark
Run		It allows you to run the node.	-
Explore		It allows you to explore the successfully executed node.	-
Vertical Ellipses		The available options are Run till node Run from node Publish as a model Publish code	-
Task Name		It is the name of the task selected on the workbook canvas.	You can click the text field to edit or modify the name of the task as required.
Independent Variable 1		It allows you to select the first categorical variable for the independence test.	Only a Categorical variable can be selected.
Independent Variable 2		It allows you to select the second categorical variable for the independence test.	Only a Categorical variable can be selected.
Advanced	Alpha	It allows you to set the level of significance.	The default value is 0.05.
Advanced	Node Configuration	It allows you to select the instance of the AWS server to provide control on the execution of a task in a workbook or workflow.	For more details, refer to Worker Node Configuration.

Example of Chi Square Test for Independence

Consider a dataset of Credit Card balances of people of different gender, age, education, and so on. A snippet of input data is shown in the figure given below.

The selected values for properties of the Chi Square Test for Independence are given in the table below.

Property	Value
Independent Variable 1	Ethnicity
Independent Variable 2	Gender
Alpha	0.05

The Result page of the Chi Square Test for Independence is displayed in the figure below.

The Chi Square Statistics and Observed and Expected Frequency Tables are displayed on the Result page as seen in the above figure.

The Observed Frequency and Expected Frequency Tables are cross tables. They display the values for the selected categorical variables - Ethnicity and Gender.

In this case, the Chi Square Statistic (0.2735) is less than the p Value ((0.8722). This indicates that the selected categorical variables Ethnicity and Gender are associated with each other – a relationship exists between these two variables.