P-value Calculator

Convert a standard-normal z statistic into left-tailed, right-tailed or two-sided p-values.

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P-value calculator from a z statistic

Enter a z statistic and choose the alternative direction. HitEquals returns the p-value, both one-sided tail areas, the central area and common alpha comparisons.

Editorial checkNormal-CDF tail mapping and symmetry tested for positive, negative and zero z statistics.Updated September 10, 2026Read the publication standard

Inputs used by this calculator

P-value Calculator uses the fields below. The starting values reproduce the page example; replace them with values from the same units and time period before using the result.

Field-by-field reference for P-value Calculator.
InputStarting exampleAccepted valueHow it is used
Z statistic1.96-38 to 38Supplies the z statistic quantity used by the published equation or result breakdown.
Alternative hypothesisTwo-sidedTwo-sided · Left-tailed · Right-tailedSupplies the alternative hypothesis quantity used by the published equation or result breakdown.
The alternative selects the tail areaA two-sided test counts equally extreme standard-normal values in both directions.1Left tail2Observed z3Right tail
The alternative selects the tail areaA two-sided test counts equally extreme standard-normal values in both directions.

What a p-value represents

A p-value is the probability, under the specified null model, of a test statistic at least as extreme in the direction defined by the alternative.

One-sided alternatives

A left-tailed alternative uses the cumulative area Φ(z). A right-tailed alternative uses one minus that area.

Two-sided alternative

For a symmetric standard normal, double the smaller tail area.

p=2·min(Φ(z),1−Φ(z))

Worked z=1.96 example

The right-tail area beyond 1.96 is about 0.025. Doubling it gives a two-sided p-value near 0.05.

P-value is not effect size

A small p-value does not show practical importance, causality or the probability that the null hypothesis is true. Report estimates and intervals with the test.

Test-selection limits

This page assumes the input already follows a standard normal null distribution. Estimated variance, small samples, discrete tests and dependent data may require a different reference distribution.

Common two-sided z landmarks

Rounded standard-normal references.
|z|Two-sided p
1.645≈0.10
1.960≈0.05
2.576≈0.01
3.291≈0.001

Frequently asked questions

What does p=0.05 mean?

Under the null model, results at least this extreme have about a 5% probability under the stated alternative.

Is p the probability the null is true?

No.

When is a test two-sided?

When departures in either direction count as evidence.

Can a p-value exceed one?

No.

Does statistical significance imply importance?

No. Examine effect size and uncertainty.

Can I enter a t statistic?

No. This page uses the standard normal distribution only.

What to keep in mind

This converts an already valid z statistic under a standard-normal null model. It does not choose a test, verify assumptions, adjust multiple comparisons or calculate a t, chi-square or F p-value.

Results are rounded for display in US format, with money in dollars and cents; CSV exports keep full calculation precision. This is a calculation summary, not an official certificate.

Sources and references

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