Welcome to the Chi-Square Goodness of Fit Test Tool!

This tool allows you to perform a chi-square goodness of fit test to determine if your observed data fits an expected distribution.

How Does It Work?

1. Input Frequencies: Enter your observed and expected frequencies as comma-separated values.
2. Calculate: Click the 'Calculate Chi-Square' button to compute the chi-square statistic and p-value.
3. View Results: The results will show the chi-square statistic, degrees of freedom, and p-value.

Important Notes

• Input Format: Ensure that both observed and expected frequencies are provided in the correct format.
• Statistical Assumptions: The chi-square test assumes that the expected frequency for each category is at least 5.
• Note: No data is stored; all calculations are performed client-side.