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Z-score Calculator

Convert raw scores into standard z-scores.

Z-score Calculator

Convert raw scores to Z-scores, or enter a Z-score to find P-values and percentile rank.

Must be positive.

Results

Z-score

1

P-value (Z < x)0.841345
P-value (Z > x)0.158655
Percentile84.13%

Step-by-Step Calculation

  • Z-score formula
  • P-value (Z < z) — area to the left
  • P-value (Z > z) — area to the right
  • Percentile rank

Distribution Visualization

Shaded area = percentile (area to the left of Z)

z = 1

Z-score Calculator: Standardizing Your Data

Three modes: convert raw score → Z, enter Z → P-values/percentile, or find the probability between two scores. Shaded normal curve and step-by-step Logic Trace. Used in introductory statistics and data science courses.

Quick Workflow

Value → Z

Enter x, μ, σ. Get Z-score, P-values, and percentile.

Z → Probability

Enter a Z-score. Get P(Z < z), P(Z > z), and percentile without μ or σ.

Between Two Scores

Enter x₁, x₂, μ, σ. Get P(Z₁ < Z < Z₂) with shaded area between the bounds.

Theory & Z-Table

Calculation tab shows the formula with substitution. Theory tab includes a standard Z-table (0–3.0) for manual lookup.

Z-score Calculator: Raw Score to Z-Score & Percentile

Free Z-score calculator: convert raw scores to Z-scores, Z-scores to percentiles, or find the probability between two scores. Formula z = (x−μ)/σ. Standard normal CDF. Shaded distribution. No sign-up. Used in AP Statistics and introductory stats.

What is a Z-score? Standardizing Your Data

  • Positive Z-scores:
    The value is above the mean.
  • Negative Z-scores:
    The value is below the mean.
  • Z = 0:
    The value equals the mean.
  • Interpretation:
    A Z-score of 2 means the value is 2 standard deviations above the mean.
A Z-score (or standard score) tells you how far a data point is from the mean in units of standard deviation. By converting raw values to Z-scores, you put different datasets on the same scale—for example, comparing a student's SAT score (scale 200–800) to their GPA (scale 0–4). This is why how to calculate a z score is central to introductory statistics and data science.

How to Use This Z-score Calculator

Three Modes, One Tool

  • Trust:
    Uses the error function for Φ(z). Logic Trace shows exact formulas with your numbers. Built for AP Statistics and introductory courses.
  • Visual:
    Shaded normal curve: left-tail (percentile) or region between two Z-scores. Red dashed lines mark your Z values.
This Z-score calculator supports three workflows so you can convert raw score to z score, z score to percentile, or find the probability between two scores. Value → Z: Enter raw score (x), mean (μ), and standard deviation (σ) to get the Z-score, P-values, and percentile. Z → Probability: Enter a Z-score to get P(Z < z), P(Z > z), and percentile—no μ or σ needed. Between Two Scores: Enter x₁ and x₂ with μ and σ to get P(Z₁ < Z < Z₂). Calculations use the standard normal CDF (Φ) with high precision; all processing runs in your browser.

The Z-Score Formula and Standard Normal Distribution

Formula and CDF

To convert raw score to z score, use
z=xμσz = \frac{x - \mu}{\sigma}
where x is the raw score, μ is the population mean, and σ is the standard deviation. The result z is in "standard deviation units." Probabilities come from the standard normal distribution (mean 0, SD 1) via the cumulative distribution function Φ(z), which gives
P(Zz)P(Z \leq z)
So
P(Z<z)=Φ(z)P(Z < z) = \Phi(z)
(percentile) and
P(Z>z)=1Φ(z)P(Z > z) = 1 - \Phi(z)
The Logic Trace shows the full substitution and the Theory tab explains what your Z-score means in plain language.

P-Values, Percentile, and the Standard Normal Table

Interpretation and Lookup

The P-value (Z < x) is the area under the standard normal curve to the left of your Z-score—the proportion of the distribution below that value. The percentile is this proportion as a percentage: P(Z < z) × 100. A percentile of 97.72% means your score is higher than 97.72% of values. P-value (Z > x) is the area to the right. P(Z < z) + P(Z > z) = 1. The Theory tab includes a standard normal Z-table (0–3.0) for manual lookup—match your Z to row and column, or use symmetry: P(Z < −z) = 1 − P(Z < z) for negative Z.

When to Use a Z-Score Calculator

Use Cases

Use this tool when you need to find percentile from z score, compare scores across different scales (e.g., test scores vs. grades), verify homework in AP Statistics or intro stats, or check the probability between two bounds. It complements our P-value Calculator (for hypothesis tests) and Confidence Interval Calculator (for Z-values at 90%, 95%, 99%).

Z-score Calculator FAQ

? What is a Z-score?

A Z-score (standard score) measures how many standard deviations a data point is from the mean. It standardizes different datasets so you can compare values—e.g., comparing an SAT score to a GPA. Positive Z-scores are above average; negative Z-scores are below average; Z = 0 is exactly average.

? How do I calculate a Z-score from a raw value?

Use the formula
z=xμσz = \frac{x - \mu}{\sigma}
where x is your raw score, μ is the population mean, and σ is the standard deviation. Enter these in "Calculate Z-score" mode; the tool shows the result, P-values, and percentile.

? What does the percentile mean?

The percentile is the share of the distribution below your Z-score, as a percentage. A percentile of 84% means your score is higher than 84% of values. It equals
P(Z<z)×100P(Z < z) \times 100
.

? What is P-value (Z < x) vs P-value (Z > x)?

P(Z<x)P(Z < x)
is the area to the left of your Z-score (below that value).
P(Z>x)P(Z > x)
is the area to the right (above it). They sum to 1. The shaded region in the chart is the left-tail area (percentile).

? How do I find the probability between two scores?

Use Probability Between Two Scores mode. Enter raw scores x₁ and x₂ with μ and σ. The calculator converts both to Z-scores and uses:
P(z1<Z<z2)=Φ(z2)Φ(z1)P(z_1 < Z < z_2) = \Phi(z_2) - \Phi(z_1)
The shaded area between the red lines shows this probability.
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Mathematical Reference Note

Calculation Logic: This tool uses standard mathematical algorithms. While we strive for accuracy, errors in logic or user input can result in incorrect data.

Verification: Results should be cross-checked if used for important academic, professional, or personal calculations.

Standard Terms: This tool is provided free of charge and as-is. CalcRegistry provides no warranty regarding the accuracy or fitness of these results for your specific needs.

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