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Normal Distribution CDF Calculator

Estimate the normal probability P(X ≤ x). Positive standard deviation.

Free to useNo sign-upRuns in your browser
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Enter the inputs, then select Calculate.

Your result
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Result will appear here

How Normal Distribution CDF Calculator works

Estimate the normal probability P(X ≤ x).

Positive standard deviation. Uses an erf approximation with absolute error below about 1.5 × 10⁻⁷; it is not an exact tail-probability calculation. Finite real inputs; output uses up to 12 significant digits. Floating-point results may be rounded.

Concept diagram for Normal Distribution CDF Calculator, showing value x input and the supported output.
Concept diagram; the three operation images are actual browser captures.

How to use Normal Distribution CDF Calculator

Follow the labelled inputs.

Enter value x

Replace the example with value x. The field labels specify the expected format and units.

Input and settings
Normal Distribution CDF Calculator: input and settings in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Check the remaining inputs

Set mean, standard deviation. Positive standard deviation.

Tool result
Normal Distribution CDF Calculator: tool result in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Run, review and save

Select Calculate. Review the calculated result, then copy it or download the result text.

Review the details
Normal Distribution CDF Calculator: review the details in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Examples and uses for Normal Distribution CDF Calculator

Check the supplied example

The starting example produces 0.5. Estimate the normal probability P(X ≤ x).

Abstract input values and a mathematical worksheet.
Start with the values. Concept illustration.

Use your own inputs

Read the labels for value x and mean, standard deviation. Positive standard deviation.

Two calculation examples shown for comparison.
Compare a second example. Concept illustration.

Record a reviewed result

Copy the calculated result into your notes. Keep the formula and assumptions with it if someone else needs to reproduce the calculation.

A calculation and supporting explanation represented conceptually.
Explain the calculation. Concept illustration.

How to read the result

Read the units and assumptions with the output.

Estimate the normal probability P(X ≤ x).

Positive standard deviation. Uses an erf approximation with absolute error below about 1.5 × 10⁻⁷; it is not an exact tail-probability calculation. Finite real inputs; output uses up to 12 significant digits. Floating-point results may be rounded.

A mathematical result connected to the values used to calculate it.
Read the result with its inputs. Concept illustration.

Supported input and limits

Check the stated scope before you run it.

Positive standard deviation. Uses an erf approximation with absolute error below about 1.5 × 10⁻⁷; it is not an exact tail-probability calculation. Finite real inputs; output uses up to 12 significant digits. Floating-point results may be rounded.

The input stays in this browser. Copy result and Download save the same displayed text.

Values and units reviewed before relying on a mathematical result.
Check values and units. Concept illustration.

Normal Distribution CDF Calculator: common questions

Answers about using Normal Distribution CDF Calculator and understanding its results.

What assumptions and input limits apply?

Positive standard deviation. Uses an erf approximation with absolute error below about 1.5 × 10⁻⁷; it is not an exact tail-probability calculation. Finite real inputs; output uses up to 12 significant digits. Floating-point results may be rounded.

How can I save the output?

Use Copy result to copy the displayed text, or Download to save it as a text file. The tool runs in your browser and does not require an account.

Calculate with your input

Check the calculated result, then copy or download it.

Calculate