Normal Distribution PDF Calculator
Evaluate the normal probability density at x.
Open toolEstimate the normal probability P(X ≤ x). Positive standard deviation.
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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.
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Replace the example with value x. The field labels specify the expected format and units.
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The starting example produces 0.5. Estimate the normal probability P(X ≤ x).

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

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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.

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.
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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.
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