Normal Distribution Calculator

Enter mean, standard deviation, and x to get the PDF, CDF (P(X ≤ x)), and z-score instantly.

Parameters

Presets

Bell Curve — Shaded Area = P(X ≤ x)

Probability Summary

Expression Probability Percentage

Summary

Enter mean, standard deviation, and x to get the PDF, CDF (P(X ≤ x)), and z-score instantly.

How it works

  1. Enter the population mean (μ) — the center of the distribution.
  2. Enter the standard deviation (σ) — controls the spread; must be greater than zero.
  3. Enter your x value — the point you want to evaluate.
  4. The calculator returns the PDF (height of the curve at x), the CDF P(X ≤ x), and the z-score.
  5. The tail probabilities P(X > x), P(X < x), and the two-tailed P(|X - μ| ≤ |x - μ|) are also shown.
  6. Use the chart to see the shaded area representing the cumulative probability.

Use cases

  • Statistics courses: check homework answers for normal probability problems.
  • Quality control: find the probability a measurement falls within spec limits.
  • Finance: estimate the probability of a return exceeding a threshold.
  • Psychology/research: convert raw scores to percentile ranks.
  • Machine learning: evaluate how far a data point is from the mean in standard deviations.
  • Standardized testing: convert raw scores to z-scores and percentiles.

Frequently Asked Questions

Last updated: 2026-06-13 · Reviewed by Nham Vu