P-Value Calculator

Calculate p-value from z or t statistics for hypothesis testing.

Z-Score

1

Percentile (below)

84.13%

Above percentile

15.87%

z = (75 − 65) / 10 = 1

P-Value Calculator Formula & How It Works

p-value (two-tailed) = 2 × P(Z > |z|) = 2 × (1 − Φ(|z|))
  • One-tailed: p = P(Z > z) or P(Z < z)
  • Two-tailed: p = 2 × P(Z > |z|)
  • α = significance level (0.05 most common)
  • Reject H₀ if p < α

The p-value is the probability of observing a test statistic as extreme as (or more extreme than) the one computed, assuming the null hypothesis is true. Small p-value (< 0.05) → the result is unlikely by chance → reject the null hypothesis. Large p-value → result is consistent with the null → fail to reject it. P-value ≠ probability the null hypothesis is true.

P-Value Calculator FAQs

What does a p-value of 0.05 mean?

A p-value of 0.05 means there is a 5% probability of observing the data (or more extreme) if the null hypothesis were true. At α=0.05 significance level, p<0.05 means the result is statistically significant — unlikely due to random chance alone.

Is a lower p-value always better?

Not necessarily. A very low p-value (e.g., p=0.0001) in a large study may represent a statistically significant but practically insignificant effect. Always report effect size alongside p-value. 'Statistical significance ≠ practical significance.'

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