Probability, z-score, percentile and inverse normal calculations with a live bell-curve visualization.
Inputs
Calculation
Mean (μ)any real value
Standard deviation (σ)must be > 0
X valueobserved value
Lower value (a)
Upper value (b)
Percentile / cumulative probability97.5%
Enter as a percentage from 0 to 100.
Results
Probability
0.975002
97.5002%
Z-score
1.9600
(x − μ) / σ
PDF at x
0.058441
density
Complement
0.024998
2.4998%
Normal densitySelected probability area
−1 to 1
≈68.27% within μ ± 1σ
−2 to 2
≈95.45% within μ ± 2σ
−3 to 3
≈99.73% within μ ± 3σ
How this is calculated
The calculator standardizes values with z = (x − μ) / σ. Probabilities are areas under the normal density curve, and inverse calculations solve for the quantile corresponding to a chosen cumulative probability.
This Normal Distribution Calculator helps students, researchers, analysts, and educators calculate normal probabilities, z-scores, percentile values, and inverse normal quantiles from a mean and standard deviation. It supports left-tail, right-tail, between-range, outside-range, and percentile calculations, with instant interpretation and a visual normal curve so results can be checked and communicated clearly in research and statistical analysis.
researchmethod.net
About the author
Muhammad Hassan
Muhammad Hassan writes about research design, academic methods and data-analysis concepts for ResearchMethod.net. His work focuses on presenting methodological topics in clear language for students and early-career researchers. Articles are developed from recognized methodological literature and official software documentation.