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Z-Score Probability Calculator

Areas under the curve are probabilities: get both tails for any z-score.

Calculate z-score probability

Areas below and above, from the standard normal distribution.

Quick answer: P(Z < z) = Φ(z); P(Z > z) = 1 − Φ(z); between two values, subtract. Z = 1.96 has 0.9750 below it and 0.025 above.

How to use this z-score probability calculator

Enter a z-score above to get the probability (area) below it and above it under the standard normal curve, the two numbers every normal-probability question is built from.

Areas are probabilities

Under the standard normal curve, total area equals 1, so an area is a probability. P(Z < 1.25) = 0.8944 says: a standard normal value falls below 1.25 with probability 0.8944, 89.44% of the time. The same number read as a percentile says the 89th percentile. Three languages, one area.

Worked example

P(Z > 1.96) = 1 − 0.9750 = 0.025, the 2.5% upper tail that, doubled for both tails, produces the famous 5% significance level. When a paper reports "p < 0.05", this small piece of geometry is what it is standing on.

The three shapes of question

Frequently asked questions

How do I find P(Z > z)?

Calculate 1 − Φ(z). The area above a z-score is the complement of the area below it.

What is the probability that Z is between −1 and 1?

Φ(1) − Φ(−1) = 0.8413 − 0.1587 = 0.6827, the empirical rule's 68%.

Is the area below a z-score the same as its percentile?

Yes. Percentile = 100 × area below. A z-score with 0.8944 below it is the 89.44th percentile.