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Two-Sided P-Value from Z Calculator

Convert a z statistic into a two-sided and one-sided p-value.

Inputs

Results

Two-sided p-value3.572872%
One-sided p-value1.786436%

Chart

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Describe what you want to find — “p value from z score” — and jump to the right calculator.

How to use the two-sided p-value from z calculator

Convert a z statistic into a two-sided and one-sided p-value. Enter z statistic in the field above; the two-sided p-value, one-sided p-value are computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “p value from z score”, “two sided p value”, “significance from z statistic”, “calculate two-sided p-value from z”, “find two-sided p-value”.

Formula

Two-sided p-value (%) = 2 × (1-ncdf(abs(z))) × 100
One-sided p-value (%) = [Two-sided p-value] / 2

Variables

  • z — Z statistic

Worked example

With z statistic = 2.1, the calculator gives two-sided p-value ≈ 3.572872 %; one-sided p-value ≈ 1.786436 %.

Frequently asked questions

What is the two-sided p-value from z calculator used for?

Convert a z statistic into a two-sided and one-sided p-value. It helps with questions such as “p value from z score”, “two sided p value”, “significance from z statistic”.

What is the formula for the two-sided p-value from z calculation?

Two-sided p-value (%) = 2 × (1-ncdf(abs(z))) × 100. One-sided p-value (%) = [Two-sided p-value] / 2. Here z is z statistic.

What inputs do I need for the two-sided p-value from z calculator?

You need z statistic. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the two-sided p-value from z calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the two-sided p-value from z result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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