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Q: Why use the T score?

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Because t-score isn't as accurate as z-score, you should use 40 as a safety sample size, rather than 30 as you would for a z-score.

If we are testing a hypothesis about the population mean , if none of the conditions of using a z-score or the conditions for using a t-score are met, we may use a proper non-parametric test.

If the sample size is less then 30 use the T table, if greater then 30 use the Z table.

T score is usually used when the sample size is below 30 and/or when the population standard deviation is unknown.

Z scores are used for standardized testing done by most school districts. It is the most common way of standardizing data. IQ scores can be standardized using z scores. The mean is 100 and the standard deviation is 15. You use the t score when the sample is small, <30 often. Many behavior ratings use t scores.

The T-score is related to the Stiffness Index, because the Index is used to determine the T-score. This is an expression of structure, strength, and density.

The letter T is worth 1 point.

T-scores and z-scores measure the deviation from normal. The normal for T-score is 50 with standard deviation of 10. if the score on t-score is more than 50, it means that the person scored above normal (average), and vise versa. The normal for Z-score is 0. If Z-score is above 0, then it means that person scored above normal (average), and vise versa.

A score

Because as the sample size increases the Student's t-distribution approaches the standard normal.

Can be. Depends how you use it. To score, as in "to score a goal" is a verb. A score, as in "the score is 4-0" is a noun.

a "T" or a "Z" score. A "T" Score if comparing a sample. A "Z" Score when comparing a population. Remember, a population includes all observation, and a sample includes only a random selection of the population.

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