Standard normal 97.5th percentile
Left-tail p = 0.975, μ = 0, σ = 1
z ≈ 1.95996398 and x ≈ 1.95996398
Probability → boundary
Enter a percentile or probability to find the matching z-score and value for any mean and standard deviation.
Ready example
Use the prefilled values, then choose Calculate inverse normal.
Method
The inverse normal function uses cumulative area from the left. A left-tail input is already in that form. For a right-tail input q, the corresponding left-tail area is 1 − q. For a central area c, each outside tail is (1 − c) / 2.
The calculator evaluates z = Φ⁻¹(p), where Φ is the standard normal cumulative distribution function. Central mode evaluates the lower and upper tail boundaries separately so both endpoints remain numerically stable.
For a normal distribution with mean μ and standard deviation σ, the raw value is x = μ + σz. The calculator reports both z and x so the standardized and original-scale answers stay visible together.
Checked examples
Left-tail p = 0.975, μ = 0, σ = 1
z ≈ 1.95996398 and x ≈ 1.95996398
Left-tail p = 0.975, μ = 100, σ = 15
z ≈ 1.95996398 and x ≈ 129.39945977
Central probability = 0.95, μ = 0, σ = 1
lower z ≈ −1.95996398 and upper z ≈ 1.95996398
FAQ
It starts with a cumulative probability or percentile and returns the boundary value that leaves that amount of normal-curve area on the selected side. This is the reverse direction of calculating probability from a known x-value or z-score.
Usually, yes. Calculator labels such as InvNorm commonly refer to the inverse cumulative distribution function. Always check whether the tool expects a left-tail area, because right-tail and central-area questions require a conversion first.
No finite normal quantile exists at exactly 0 or 1. The normal curve extends indefinitely, so those endpoints correspond to negative or positive infinity. This calculator requires a probability strictly between 0 and 1, or between 0% and 100%.
Write the percentile as a decimal left-tail probability, then evaluate Φ⁻¹(p). For example, the 97.5th percentile is p = 0.975 and gives z ≈ 1.95996398. Percent mode performs the division by 100 without changing the probability meaning.
Review and sources
Reviewed July 13, 2026
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