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Deviation Score (T-score) & Percentile Calculator

Enter your score and distribution info to get z-score, deviation score, and percentile. You can also reverse-calculate the required score.

Percentiles in A/C assume a normal distribution. Standardization alone does not require normality.

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How to use (3 steps)

  1. Pick a mode: from mean & SD, from a score list / frequency table, or reverse from a target percentile/deviation score.
  2. Enter your score or paste the data. Choose the SD type (population/sample) and tie handling if you use empirical data.
  3. Results update automatically: deviation score, percentile, top %, and estimated rank when a cohort size is provided. Copy the results or URL to share.

Numbers are processed in your browser only. Decimals and negative values are accepted.

Quick presets

Inputs

Results auto-update as you type. Percentile is based on a normal approximation in mode A/C and empirical counts in mode B.

Embed this calculator

Calculations run in your browser. A/C links include the entered numbers. New B links contain no data and open an empty form; copy the result text separately. Old data links still contain data in their URLs and send it in the initial page request.

Deviation score & percentile

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Deviation score
Percentile rank
Top percentage
z-score
Estimated rank
Required score
Data count
Mean
Standard deviation
Min / Max
·
Normal approximation

Percentiles in A/C assume a normal distribution. Standardization alone does not require normality.

How it’s calculated

FAQ

Should I use population or sample standard deviation?

Use population SD when you have the whole cohort. Use sample SD when your list is a sample from a larger group; at least two data points are required for sample SD.

Percentile rank: Below + half of ties

The lower share counts scores below yours plus the selected share of ties. The upper share is its complement; only the at-or-below method excludes all ties from the upper share.

Why can’t I enter 0% or 100% as a target percentile?

0% and 100% would require an infinite z-score in a normal distribution. Use a value slightly above 0 or below 100 (e.g., 0.1% or 99.9%).

Is my score list sent to a server?

Calculations run in your browser. A/C links include the entered numbers. New B links contain no data and open an empty form; copy the result text separately. Old data links still contain data in their URLs and send it in the initial page request.

What should I enter first for deviation score or percentile?

Enter the score, mean, and standard deviation first. Confirm whether the distribution assumption is appropriate before interpreting percentile or standardized score outputs.

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