Statistics

P-Value to Conclusion

A p-value alone doesn't tell you what to conclude — you need to compare it to your alpha level. Enter the p-value from your test and the significance level (α) to get a formal statistical conclusion with a plain-language explanation.

P-value

Alpha level (α)

Test type (for context)

p-value

α level

p < α?

Confidence level

Common Misconceptions

The p-value is NOT the probability that H₀ is true. It's the probability of observing results this extreme if H₀ were true.

Failing to reject H₀ does NOT prove H₀ is true — only that there is insufficient evidence against it.

Statistical significance ≠ practical significance. A tiny effect can be "significant" with a large enough sample.