T-Score Calculator

A score of 70 on a test with mean 50 and standard deviation 10 has a T-score of 70, which is about the top 2.3% if scores are normally distributed.

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How to use

  1. Choose Score to T-score, then enter the raw score, the mean and the standard deviation of the whole group.
  2. Add the number of test takers to get an estimated rank. It is optional.
  3. To find the score you need for a target T-score, switch to T-score to score and enter the T-score, mean and standard deviation.

How it works

T = 50 + 10 × (score − mean) ÷ standard deviation. It is the z-score rescaled so that the mean is 50 and one standard deviation is 10 points.

The percentile assumes a normal distribution. A T-score of 60 is the top 15.87%, and 70 is the top 2.28%. Real score distributions are often skewed, so treat the percentage as an estimate.

Use the population standard deviation of the whole group, as reported with the test. T-scores are used in psychological and educational testing, and in Japan the same value is called hensachi.

T-score and percentile

Assuming a normal distribution.

T-scoreTop share
4084.13%
4569.15%
5050.00%
5530.85%
6015.87%
656.68%
702.28%
750.62%
800.13%

FAQ

What does a T-score of 50 mean?

The score equals the group mean. Above 50 is above average and below 50 is below average.

Can a T-score be above 100 or below 0?

Yes, if the score is more than 5 standard deviations from the mean. It is very rare in a normal distribution.

What is the difference between a T-score and a z-score?

They carry the same information. A z-score has mean 0 and SD 1, and a T-score is 50 + 10z.

Is my data sent anywhere?

No. The calculation runs in your browser.