🔔 Normal Distribution Calculator (Probability & Inverse)

Bell-curve probabilities without tables — and the cut-off value for any percentile.

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Formula at a glance

Normal Distribution Calculator: Probability — P(X < x) = Φ((x − μ)/σ). Example: IQ between 85 and 115 → P(85 < X < 115): 0.682689 = 68.2689%
How the Normal Distribution Calculator works: Probability — P(X < x) = Φ((x − μ)/σ)

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📘 About the Normal Distribution Calculator

The normal distribution is the bell-shaped curve that describes heights, measurement errors, exam scores, IQ and many natural quantities. It is fixed by its mean (the centre) and standard deviation (the spread). Probabilities are areas under the curve.

Choose the mean and SD, then find the probability below a value, above it, between two values or outside them — or work backwards to the value with a given probability below it (for example the 95th percentile). Results are computed precisely, not read from a z-table.

🧮 Formula

Probability
P(X < x) = Φ((x − μ)/σ)
Between
P(a < X < b) = Φ(z_b) − Φ(z_a)
Inverse
x = μ + σ·Φ⁻¹(p)

✏️ Worked examples

IQ between 85 and 115

You enter
Mean μ100
Standard deviation σ15
FindP(x₁ < X < x₂) — between
x₁85
x₂115
Probability for the inverse (%)95
You get
P(85 < X < 115)0.682689 = 68.2689%
z-scoresz₁ = −1, z₂ = 1
Out of 1,000 peopleabout 683 would be in this range
DistributionNormal, mean μ = 100, SD σ = 15

0.682689 = 68.2689%.

Height above 180 cm (mean 170, SD 7)

You enter
Mean μ170
Standard deviation σ7
FindP(X > x₁) — above
x₁180
x₂190
Probability for the inverse (%)95
You get
P(X > 180)0.0765637 = 7.65637%
z-scoresz₁ = 1.42857
Out of 1,000 peopleabout 77 would be in this range
DistributionNormal, mean μ = 170, SD σ = 7

0.0765637 = 7.65637%.

🧭 How to use this calculator

What you enter

  • Mean μ
  • Standard deviation σ
  • Find
  • x₁
  • x₂
  • Probability for the inverse (%)

What you get

  • P(85 < X < 115)
  • z-scores
  • Out of 1,000 people
  • Distribution

❓ Frequently asked questions

What percentage of values fall within one standard deviation?

About 68.27%. Within two SDs about 95.45%, within three about 99.73%.

How do I find the value for the top 10%?

Use the inverse mode with 90%: the value with 90% below it. For IQ that is about 119.

Is my data normal?

Check a histogram — roughly symmetric and bell-shaped. Skewed data (incomes, waiting times) are not normal.