T-Scores
Definition
T-scores are standardized scores that represent how many standard deviations an individual data point is away from the mean, using the sample standard deviation.
Analogy
Think about t-scores as comparing your height to other students in your class. If you are taller than most students, your t-score will be positive because you are above average. If you are shorter than most students, your t-score will be negative because you are below average.
Related terms
Z-Scores: Z-scores are standardized scores that represent how many standard deviations an individual data point is away from the mean, using the population standard deviation.
Standard Deviation: Standard deviation measures how spread out or dispersed data points are around their mean.
Normal Distribution: A normal distribution is a symmetric bell-shaped probability distribution where most values cluster around the mean.
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