Normal Distribution Calculator

Many measurements, from heights to exam scores, follow a bell-shaped normal distribution. Enter its mean and standard deviation to find the share of values in any range.

Results update as you type.

P(X < 120)

0.908789

90.8789%

z-score
1.3333333
Complement
0.0912112

The 68–95–99.7 rule: about 68% of values lie within 1σ of the mean, 95% within 2σ and 99.7% within 3σ.

About this calculator

The inverse option works the other way: give a probability and get the cut-off value, for example the score needed for the top 5%.

How to use it

  1. Enter the mean and standard deviation.
  2. Choose what to find.
  3. Enter x, the range or the probability.

The formula

z = (x − μ) ÷ σ; P(X < x) = Φ(z)
μ
mean
σ
standard deviation
Φ
standard normal cumulative distribution

Worked example

IQ scores with mean 100 and σ 15

  1. P(X < 120): z = 1.333, so P = 0.9088.
  2. The top 5% start at 100 + 1.645 × 15 = 124.67.

What the result means

About 68% of values lie within one standard deviation of the mean, 95% within two and 99.7% within three.

Assumptions

  • The data are normally distributed.

Limitations

  • Real data are often only roughly normal, especially in the tails.

Frequently asked questions

What is the standard normal distribution?

The normal distribution with mean 0 and standard deviation 1. Any normal value converts to it with z = (x − μ) ÷ σ.

How do I find the top 10% cut-off?

Choose the inverse option and enter 0.9 as the probability to the left.

Is P(X < x) the same as P(X ≤ x)?

Yes, for a continuous distribution.

Last reviewed on 6 October 2026. Found a mistake? Tell us.