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 |
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Summary
Enter mean, standard deviation, and x to get the PDF, CDF (P(X ≤ x)), and z-score instantly.
How it works
- Enter the population mean (μ) — the center of the distribution.
- Enter the standard deviation (σ) — controls the spread; must be greater than zero.
- Enter your x value — the point you want to evaluate.
- The calculator returns the PDF (height of the curve at x), the CDF P(X ≤ x), and the z-score.
- The tail probabilities P(X > x), P(X < x), and the two-tailed P(|X - μ| ≤ |x - μ|) are also shown.
- 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