Use this page finding F-critical values and calculating p-values for statistical analysis. Whether you are conducting an ANOVA test or interpreting F-distribution statistics, the tools and tables here provide accurate and easy-to-use solutions.
Explore the dynamically generated F-tables for different significance levels (α), use the F-Critical Value Calculator to compute critical thresholds, or calculate p-values based on your F-test results. Simply input the necessary parameters, and let the calculators do the rest!
Scroll down to view the F-tables for significance levels of α = 0.01, 0.05, and 0.1. These tables are dynamically loaded and cover a wide range of degrees of freedom for both the numerator and denominator.
F-Critical Value Calculator
p-Value Calculator
F-Tables for Different Significance Levels
How to Use the F-Tables
F-tables are used to determine the critical value for the F-distribution, often required in hypothesis testing like ANOVA and regression analysis. Follow these steps to interpret the F-tables:
- Select the Significance Level (α): Identify the significance level for your test. Common values are 0.01, 0.05, or 0.1, and corresponding tables are available on this page.
- Find the Degrees of Freedom: Determine:
- df1 (numerator): Based on the number of groups or variables in your test.
- df2 (denominator): Based on the total sample size minus the number of groups.
- Locate the Critical Value: In the F-table:
- Find the row corresponding to your df2 (denominator degrees of freedom).
- Find the column corresponding to your df1 (numerator degrees of freedom).
- The intersection of the row and column gives the critical F-value for your test.
Use this critical value to compare against your calculated F-statistic:
- If the calculated F-value is greater than the critical F-value, reject the null hypothesis.
- If the calculated F-value is less than or equal to the critical F-value, fail to reject the null hypothesis.
For quick calculations, use the F-Critical Value Calculator on this page.
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For more critical value tables, visit our comprehensive page: Critical Value Tables .
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.