Free Statistics Tool
P-Value Interpreter
Instantly check whether your statistical test results are significant and learn exactly what your p-value means.
Check Your Significance
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How to Use This Tool
This interpreter works for almost any statistical hypothesis test, including T-Tests, ANOVAs, Chi-Square tests, and Regressions. Simply find the "Sig." or "p-value" column in your statistical software output and enter it above.
What Does the Result Mean?
- Reject the Null Hypothesis: Your p-value is lower than your alpha level. This means your results are statistically significant! There is strong evidence that the effect, difference, or relationship you are testing actually exists in the population.
- Fail to Reject the Null Hypothesis: Your p-value is higher than or equal to your alpha level. Your results are not statistically significant. This means you do not have enough evidence to claim an effect exists, and the differences you see could just be due to random chance.
What is Alpha (α)?
The significance level (α) is your threshold for significance. By default, it is set to 0.05 (5%), which is the standard across most scientific research. This means you are accepting a 5% risk of concluding that a difference exists when there actually is no difference (a Type I error).
If you are in a field like medicine where errors are very costly, you might use a stricter alpha like 0.01.