- What you have
- Raw score, mean and SD
- Raw score
- 75
- Norm-group mean
- 60
- Norm-group standard deviation
- 10
- z-score
- 1.5
65.0
Open with these values65.0
Result: 65.0A T-score is a z-score moved onto a scale with mean 50 and standard deviation 10, so the numbers stay positive and whole. It carries no more information than the z-score it came from. This is not the T-score from a bone-density scan, which is a different measure.
65.0
Open with these values35.0
Open with these values73.3
Open with these valuesT = 50 + 10 · z
A T-score answers one question: how far from average does this result sit, counted in standard deviations, written on a scale that is easy to read. The quantity underneath is the z-score, which counts exactly that distance from the mean of a norm group. T places it on a scale centred at 50 where one standard deviation is worth ten points, so T = 50 + 10 · z. The two modes are two ways in. Given a z-score, the calculator applies the shift and stops: a z of 2.33 becomes 73.3, a z of −2 becomes 30. Given a raw score, it works out z first — subtract the norm-group mean, divide by the norm-group standard deviation — and then shifts. A raw score of 75 against a mean of 60 and a deviation of 10 sits one and a half deviations above average, so 50 + 15 = 65. A 42 against a mean of 60 and a deviation of 12 sits one and a half deviations below, giving 35. A 100 against a mean of 80 and a deviation of 8 is 2.5 deviations up, giving 75. Note what the raw mode leans on: the mean and the deviation describe the comparison group, not your result. Change them and the answer moves while the raw score stands still.
That is a different measure that happens to share the name. This one places a score on a scale with mean 50 and standard deviation 10.
A T-score carries exactly what the z-score it came from carries. The shift only removes negative numbers and decimal places.
A T of 50 is exactly average for the norm group, which is a z of zero. Every ten points away from 50 is one standard deviation.
In raw mode the answer depends on the norm group's mean and standard deviation, not on the raw score alone. A raw score of 75 gives a T of 65 with mean 60 and deviation 10.
A T-score of 60 means 60 percent.
It means one standard deviation above the norm-group mean. About 84 percent of the norm group score lower.
A T-score tells you more than the z-score it came from.
It tells you the same thing on a different scale. T is 50 plus ten times z, and nothing is gained or lost in the move.
A score well below average has to come out negative.
The scale exists to avoid that. A z of −2 becomes a T of 30, which is easier to read on a report than a minus sign.
The two modes answer different questions.
They are two ways into the same number. A raw score of 75 with mean 60 and deviation 10 gives 65, and so does entering its z directly.
| T-score | z-score | Roughly |
|---|---|---|
| 30 | −2.0 | About 2 % score lower |
| 40 | −1.0 | About 16 % score lower |
| 50 | 0 | Exactly average for the norm group |
| 60 | +1.0 | About 84 % score lower |
| 70 | +2.0 | About 98 % score lower |
A z-score shifted onto a scale with a mean of 50 and a standard deviation of 10. T equals 50 plus ten times z, and nothing is gained or lost in the move.
To avoid negative numbers and decimals. A z of −2 becomes a T of 30, which is easier to read on a report than a minus sign.
Raw takes a score, a mean and a standard deviation and computes z itself. The z mode skips that step and takes the z-score directly — a raw score of 75 with mean 60 and deviation 10 gives 65 either way.
Exactly average: a z of zero. Every ten points away from 50 is one standard deviation.
Information, not professional advice.
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