Area below z = 1
Z-score basis, Left, z = 1
P(Z ≤ 1) ≈ 0.84134475, or 84.13447461%
Boundary → probability
Enter a value or z-score, choose an area, and calculate the probability with a clearly labeled shaded curve.
Ready example
Use the prefilled standard normal values, then choose Calculate normal probability.
Method
Use raw-value mode when a problem gives x together with a mean μ and standard deviation σ. Use z-score mode when the values have already been standardized. The z-score tells how many standard deviations a boundary lies above or below the mean.
Left means the cumulative area below one boundary. Right means the area above it. Between selects the area inside two ordered boundaries, while Outside adds the two tails beyond those boundaries. The diagram and text both show which region is being calculated.
For raw values, each boundary becomes z = (x − μ) / σ. The calculator then evaluates the normal cumulative distribution using stable tail and interval formulas. It reports the decimal probability, percentage, standardized boundary, steps and shaded curve together.
Checked examples
Z-score basis, Left, z = 1
P(Z ≤ 1) ≈ 0.84134475, or 84.13447461%
Z-score basis, Between, −1 < Z < 1
P(−1 ≤ Z ≤ 1) ≈ 0.68268949, or 68.26894921%
Raw basis, 85 < X < 115, μ = 100, σ = 15
The standardized bounds are −1 and 1, so the probability is ≈ 0.68268949.
FAQ
It returns probability represented by area under the normal curve. The total area is 1. A left or right calculation uses one boundary; between and outside calculations use two ordered boundaries.
Enter a raw value when your number is on the original measurement scale and you know its mean and standard deviation. Enter a z-score when the problem already gives a standardized value. In raw mode this calculator shows the standardization step for you.
Between shades the single region inside the lower and upper boundaries. Outside shades both tails: values below the lower boundary plus values above the upper boundary. For continuous normal distributions, boundary inclusivity does not change the probability.
Standard deviation sets the distribution scale. A zero or negative value cannot define a normal distribution and would make z = (x − μ) / σ invalid, so the calculator rejects it before calculating.
Review and sources
Reviewed July 13, 2026
This educational calculator is designed for learning and routine checking. Verify medical, financial, legal, engineering-safety, or other high-stakes work independently.
Have a percentile instead? Find the inverse normal boundary.