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Norm CDF Calculator

Normal CDF Calculator works out Probability and Z score of x from Mean (mu), Standard deviation (sigma) and Value x (or the lower bound a). The default figures on this page give probability of 0.975002; change any entry and the result, the working and the sources update together.

Probability
0.975002
Normal Distribution Calculator
Probability
97.50021 %
Z score of x
1.96
Z score of the upper bound
2.58
Density f(x)
0.058441
P(X < x)
0.975002
P(X > x)
0.024998
P(a < X < b)
0.020058
P(X < a or X > b)
0.979942
Percentile of x
97.50021 %
Inverse: x with the given area to its left
1.959964
Inverse: the corresponding z
1.959964
Two-sided critical z
1.959964
One-sided critical z
1.644854
Within 1 sigma
68.268949 %
Within 2 sigma
95.449974 %
Within 3 sigma
99.73002 %
Variance (sigma squared)
1
Worked out from NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.1 Normal Distribution and 2 other sources.

Your figures

Updates as you type
Must be greater than zero. Enter the standard deviation, not the variance.
Only used by the "between" and "outside" modes.
Used by the critical-value mode and for the returned confidence interval.

How this is worked out

5 steps
  1. X ~ Normal(mu = 0, sigma = 1), so the variance is 1.
  2. z = (1.96 - 0) / 1 = 1.96
  3. P(X < 1.96) = Phi(1.96) = 0.9750021049
  4. P(X > 1.96) = 1 - Phi(1.96) = 0.0249978951
  5. That places 1.96 at the 97.5002th percentile.
Confidence interval around the meantable
-1.959964, 1.959964
One-sigma intervaltable
-1, 1
Two-sigma intervaltable
-2, 2
Three-sigma intervaltable
-3, 3

Its 5 worked examples are re-run on every release, last on 15 September 2026. What changed

Sources and references

3 sources
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.1 Normal Distribution
2012 · f(x) = exp(-(x-mu)^2 / (2 sigma^2)) / (sigma sqrt(2 pi)); Phi(z) = (1 + erf(z/sqrt2))/2.
Pukelsheim, F. (1994), "The Three Sigma Rule", The American Statistician 48(2), 88-91
The 68.27 / 95.45 / 99.73 per cent empirical-rule bands.

What the Normal CDF Calculator calculates

Evaluates the normal (Gaussian) distribution: the density f(x), the cumulative probabilities to the left, to the right and between two values, the inverse CDF, z scores, the 68-95-99.7 empirical-rule bands and two-sided critical values for any mean and standard deviation.

How to use this Normal CDF Calculator

Enter Mean (mu), Standard deviation (sigma), Value x (or the lower bound a) and Upper bound b. Probability updates as you type. Change one figure at a time to see what drives the result.

How the result is worked out

Open “How this is worked out” beside the result for the step-by-step calculation behind Probability, Z score of x and Z score of the upper bound.

The method follows NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.1 Normal Distribution, Abramowitz, M. & Stegun, I.A. (1964), Handbook of Mathematical Functions, chapter 26 and Pukelsheim, F. (1994), "The Three Sigma Rule", The American Statistician 48(2), 88-91.

What you can compare

Change one input at a time to see how it affects Probability, Z score of x and Z score of the upper bound. The inputs you can vary are Mean (mu), Standard deviation (sigma), Value x (or the lower bound a), Upper bound b and Confidence level.

Results are general information, not financial, tax, legal, medical or engineering advice. Check any decision that matters with a qualified professional.

Embed this calculator on your website

Copy this code into any page. The calculator appears with the figures currently entered, sizes itself to fit, and a small credit line links back here. Free, no account, no ads inside it, no tracking of your readers. Set your own figures and fixed fields; Personal removes the credit line, sets your colour and shows you which sites use it.

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Frequently asked questions

How to find normal CDF on a calculator?

Evaluates the normal (Gaussian) distribution: the density f(x), the cumulative probabilities to the left, to the right and between two values, the inverse CDF, z scores. Open “How this is worked out” beside the result to see each step for your own figures.

How to calculate standard normal CDF?

It needs Mean (mu), Standard deviation (sigma), Value x (or the lower bound a), Upper bound b and Confidence level. Nothing else is required, and the figures stay in your browser.

What is a normal CDF?

Evaluates the normal (Gaussian) distribution: the density f(x), the cumulative probabilities to the left, to the right and between two values, the inverse CDF, z scores. On this page it is computed from Mean (mu), Standard deviation (sigma) and Value x (or the lower bound a) and shown as Probability, Z score of x and Z score of the upper bound.

Where is the normal CDF in TI-84?

Evaluates the normal (Gaussian) distribution: the density f(x), the cumulative probabilities to the left, to the right and between two values, the inverse CDF, z scores. On the figures this page opens with — mean (mu) 0, standard deviation (sigma) 1 and value x (or the lower bound a) 1.96 — the probability is 0.975002. Put your own figures in their place and the working updates beside the result.

What information do I need for the Normal CDF Calculator?

You need Mean (mu), Standard deviation (sigma), Value x (or the lower bound a), Upper bound b and Confidence level. The page opens with default figures that give probability of 0.975002, so you can see the scale before entering your own.

What does this Normal CDF Calculator show?

It shows Probability, Z score of x, Z score of the upper bound, Density f(x), P(X < x), P(X > x), P(a < X < b) and P(X < a or X > b), with the working and any warnings for your entries.

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