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t-score

Definition

A t-score is a statistical measure that represents how far a sample mean deviates from the population mean, in terms of standard error units. It is used to determine if there is a significant difference between the sample and population means.

Analogy

Imagine you are at a concert and you want to know how loud the music is compared to the average volume level. The t-score would be like measuring the difference in decibels between the actual volume and the average volume level.

Related terms

Standard Error: The standard error measures the variability or spread of sample means around the population mean. It quantifies how much we can expect individual sample means to differ from each other.

Degrees of Freedom: Degrees of freedom represent the number of values in a calculation that are free to vary. In statistics, it refers to the number of independent pieces of information available for estimating an unknown parameter.

Confidence Interval: A confidence interval is an estimate range within which we believe that a population parameter lies with a certain level of confidence. It helps us understand how precise our estimate is and provides a range instead of just one point estimate.