Z-score Calculator

Convert between raw scores, Z-scores and normal probabilities. Three tools on one page: compute Z from a raw score, convert any single probability back to a Z, and find the area between two Z-scores — all with live standard-normal CDF, no Z-table required.

Tool 1 — Z-score Calculator

Enter a raw score and the distribution's mean and standard deviation.

Tool 2 — Z-score and Probability Converter

Provide any ONE value below to convert between Z-score and probability. This replaces the classic Z-table lookup.

Tool 3 — Probability Between Two Z-scores

Enter a left and right Z-score; the tool shades the area between them.

Z-scores explained, step by step

Each concept below has a plain-English definition, its formula, a small diagram and a worked example — all in one card so you never have to jump between sections to piece it together.

1. What a z-score really measures

A z-score converts any raw value into the number of standard deviations it sits from its distribution's mean. That makes scores from different tests or scales directly comparable.

z = (x − μ) / σ
xraw score·μpopulation mean·σpopulation standard deviation
Example
Given
x = 5, μ
= 3, σ
= 2
Substitute
(5 − 3) / 2
Answer
z = 1

2. Positive, negative and zero z

The sign of z tells you which side of the mean the value falls on. Positive z is above the mean, negative is below, and z = 0 is exactly at the mean. The magnitude tells you how far away in standard-deviation units.

z > 0 · above
z < 0 · below
z = 0 · at mean
Example
Given
score 12, μ = 20, σ
= 4
Substitute
(12 − 20) / 4
Answer
z = −2 (two SDs below the mean)

3. Converting z to a probability

The standard-normal CDF Φ(z) gives the fraction of a normal distribution that lies below any z-score. That is what a Z-table looks up — this calculator computes it live from the error function so any z or probability works exactly.

P(x < value) = Φ(z)
Φstandard-normal cumulative distribution
Example
Given
z = 1
Substitute
Φ(1)
Answer
≈ 0.8413 → about the 84th percentile

4. Landmarks worth memorising

A handful of z-values show up everywhere: ±1 covers about 68% of the distribution, ±1.96 covers 95% (the classic 95% confidence cutoff), and ±2.576 covers 99%. Anything in between smoothly interpolates.

±1 → 68% · ±1.96 → 95% · ±2.576 → 99%
Example
Given
95% confidence interval
Substitute
critical z = 1.96
Answer
x̄ ± 1.96 · SE

Common Z-score landmarks

ZP(x < Z)PercentileNote
-30.001350.13%≈ 0.1st percentile
-20.022752.28%≈ 2.3rd percentile
-1.960.025002.50%lower 95% cutoff
-10.1586615.87%≈ 1 SD below
-0.50.3085430.85%
00.5000050.00%mean
0.50.6914669.15%
10.8413484.13%≈ 1 SD above
1.6450.9500295.00%90% one-tail cutoff
1.960.9750097.50%95% two-tail cutoff
20.9772597.72%≈ 97.7th percentile
2.5760.9950099.50%99% two-tail cutoff
30.9986599.87%≈ 99.9th percentile

Features of this calculator

  • Three tools on one page — raw-score Z, Z↔probability converter, and area between two Z-scores
  • Standard-normal CDF computed live via the error function (5-decimal precision) — no static Z-table lookup
  • Small bell-curve icons next to each probability line so the shaded region is always visible
  • Full-size bell curve with dashed Z1/Z2 markers for the two-bound tool
  • Step-by-step working with the formula substituted for every result
  • Inverse normal (Acklam) for the converter — enter any probability, get the exact Z

Frequently asked questions

+What does a Z-score of 1 mean?
The value is exactly one standard deviation above the mean. In a normal distribution, roughly 84% of values fall below it and about 16% fall above.
+Can a Z-score be negative?
Yes. A negative Z means the value lies below the mean. Z = −2 corresponds to about the 2.3rd percentile.
+Do I need a Z-table with this calculator?
No. All three tools compute the standard-normal CDF live via the error function, so any Z-score or probability works — no table lookup.
+Population or sample statistics?
The classical formula uses population μ and σ. With sample data, substitute the sample mean and sample standard deviation as estimates.
+Is a Z-score the same as a percentile?
No, but they map directly via the CDF. The Z is a distance in standard deviations; the percentile is the fraction of the distribution below the value.
+What Z-score counts as an outlier?
A common rule is |Z| > 2 for mild outliers and |Z| > 3 for extreme ones — but choose thresholds to match your field and sample size.

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