Standard scores had been established by committees of teachers in the state for each test.

This value can be read off a standard score statistics table for the normal distribution.

Also, standard score can be used in the calculation of prediction intervals.

Often the conversion must be made to a standard score before the data can be used.

Only standard scores should be used for comparisons among scores.

The Wechsler tests have a standard score ceiling of 150.

The standard score for the individual's test can subsequently be calculated as:

A Lexile number is a standard score that matches students reading ability to the difficulty of text material.

In statistics, standardization refers to conversion to standard scores.

For the standard score Z of X it gives :

"Standard scores" on an achievement test are said to be measurements on an interval scale, but this is difficult to prove.

An equivalent expression gives the correlation coefficient as the mean of the products of the standard scores.

A separate standard score is recorded for each drawing, and a total score for all three.

If the distribution is normally distributed, the percentile rank can be inferred from the standard score.

Standard Score, where the highest score wins, or osu!

The standard score is not the same as the z-factor used in the analysis of high-throughput screening data though the two are often conflated.

Score: Percentiles or standard scores for the subtests.

Raw scores can be converted to percentile rank scores and standard scores.

Norm referenced scores are typically reported on the standard score (z) scale or a rescaling of it.

In statistics, the standard score is the number of standard deviations an observation or datum is above the mean.

The social intelligence quotient is a statistical abstraction similar to the 'standard score' approach used in IQ tests with a mean of 100.

The scale is then obtained as a left-adjusted column marginal average of this standard score matrix (Thurstone, 1927b).

For the basic Case V, the frequency dominance matrix is translated into proportions and interfaced with the standard scores.

The publisher has supporting guides for converting standard scores into criterion categories (e.g. "advanced" or "delayed").

The probability that a value is of a certain distance from the mean can subsequently be calculated from the relation between standard score and prediction intervals.