Chi Square Test Calculator
Perform a chi-square test for independence or goodness of fit. Enter observed and expected frequencies to compute the chi-square statistic, degrees of freedom, and p-value.
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How to use this tool?
- 1 Enter the requested data in the fields above carefully.
- 2 Click the calculate button to process the information instantly.
- 3 Analyze the detailed result and the formula explanation presented below.
- 4 You can print, share, or even embed the calculator on your own site for free.
Unlike traditional static calculators, our tools adapt to specific user needs. They include detailed explanations of the formulas used, ensuring transparency in results. Furthermore, our design is focused on user experience, eliminating distractions and focusing on what really matters: your data and conclusions.
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Frequently Asked Questions
A chi-square test is used to determine if there is a significant difference between observed and expected frequencies in one or more categories.
If the p-value is less than your chosen significance level (e.g., 0.05), you reject the null hypothesis, indicating a significant difference.
Goodness of fit test (compares observed to expected for a single categorical variable) and test of independence (for two variables).