The form of

standard score (in

statistics) used in a number of published

personality inventory tests, including the

California Psychological Inventory. This is a lot easier for some people to understand than

Z scores because they don't have

decimals and

negative numbers and we're usually familiar with a scale of 0 to 100, which they have.

In T scores, the

mean is

*always* 50 and the

standard deviation is

*always* 10.

To calculate a T score, you use this formula:

*T = 10(Z) + 50*

Pretty easy, once you've figured out your Z score. Let's do an example, referring to the set of scores I included in that writeup.. as you can see, the Z score for a noder who'd written 94 writeups was 1.1, so what would their T score be?

*T=10(1.1)+50*

Which comes out to 61. As you remember, the mean is always 50 and the standard deviation is always 10, so when you think about it, you can see how 11 above the mean in a scale of 100 would be 1.1 standard deviations.

Note that this, while a range of 100, is not the same as percentile.