Chi-Square Calculator

Determine the consistency of your observed data with the expected values using the Chi-Square test.

Required Information

Observed Value:

Expected Value:

Result:

What it is

What is Chi-Square?

Create Date: September 26, 2024

Last Modified Date: December 11, 2024

The Chi-Square test is a statistical tool used to determine the relationship between observed data and expected outcomes, often applied in hypothesis testing and independence assessments.

Chi-Square - Frequently Asked Questions

A high Chi-Square value suggests a significant difference between observed and expected values, indicating inconsistency with the null hypothesis.

The significance level depends on your application, but a p-value below 0.05 is commonly used to indicate significance.

A Chi-Square value of 0 indicates perfect alignment between observed and expected values, meaning no deviation exists.

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