CHISQ.TEST

The CHISQ.TEST function in Google Sheets is a statistical tool used to test the independence of two categorical variables. By comparing the observed and expected frequencies of the variables, the CHISQ.TEST function determines whether there is a significant association between them. Explore our detailed guide to understand how to use this function effectively.

Function Syntax and Parameters

Syntax: CHISQ.TEST(observed_range, expected_range)

Parameters:

• observed_range: The range of cells containing the observed frequencies or values.
• expected_range: The range of cells containing the expected frequencies or values.

Step-by-Step Tutorial

1. Calculating CHISQ.TEST with observed and expected frequencies:
   • Example: If A1:A4 has the observed frequencies and B1:B4 has the expected frequencies, use =CHISQ.TEST(A1:A4, B1:B4).

Use Cases and Scenarios

1. Market Research: Determine whether there is a significant relationship between gender and product preference.
2. Quality Control: Assess the association between defective products and production shifts.
3. Election Analysis: Test the independence of voting patterns across different demographic groups.

Related Functions

• CHITEST: Alternative name for CHISQ.TEST function.

Related Articles

• Understanding the CHISQ.TEST Function in Google Sheets
• Exploring Statistical Tools in Google Sheets