The ANOVA Calculator is a web-based application that performs analysis of variance (ANOVA) calculations for both one-way and two-way ANOVA tests. It provides a user-friendly interface for entering data and displays the results, including the sum of squares, degrees of freedom, mean squares, F-ratios, and critical F-values.

• One-Way ANOVA: Calculate the ANOVA for a single factor with multiple levels or groups.
• Two-Way ANOVA: Perform ANOVA calculations for experiments involving two factors (treatment and block/subject).
• Dynamic input fields for entering data based on the number of groups or blocks and treatments.
• Calculation of correction factor, sum of squares (total, treatment, block, and error), degrees of freedom, mean squares, and F-ratios.
• Display of critical F-value (user-provided or calculated based on the level of significance).

1. Open the ANOVA Calculator website in your web browser.
2. For One-Way ANOVA:
   • Enter the number of groups.
   • Input the data for each group, separating values with commas.
   • (Optional) Enter the critical F-value or the level of significance (alpha) to calculate the critical F-value.
   • Click the "Calculate ANOVA" button to perform the calculations.
3. For Two-Way ANOVA:
   • Enter the number of blocks and treatments.
   • Input the data for each block and treatment combination in the provided input fields.
   • Enter the critical F-value.
   • Click the "Calculate ANOVA" button to perform the calculations.
4. The results will be displayed on the webpage, including the sum of squares, degrees of freedom, mean squares, F-ratios, and critical F-value.

• HTML
• CSS
• JavaScript

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

This project is licensed under the MIT License.

This ANOVA Calculator was developed as part of a learning exercise and is intended for educational purposes only. It should not be used for critical or professional applications without proper validation and testing.