What do T-scores use as their mean and standard deviation?

T-scores are a type of standardized score that transforms raw scores into a format that allows for easy comparison and interpretation. The standardization of T-scores is based on a mean of 50 and a standard deviation of 10. This means that when raw scores are converted into T-scores, the majority of scores will fall within a certain range relative to this mean and standard deviation.

The use of a mean of 50 allows scores to center around a value that can easily represent average performance, while the standard deviation of 10 indicates how spread out the scores are from this average. A T-score of 50 signifies the average, while each increment of 10 represents one standard deviation away from the mean. Therefore, a T-score of 60 would be one standard deviation above the average, and a T-score of 40 would be one standard deviation below the average. This system allows for a clear and accessible way to interpret performance levels across diverse populations.