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Standard score

In statistics, the standard score or z-score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured. Raw scores above the mean have positive standard scores, while those below the mean have negative standard scores.

Standards, Measurement & Applications

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Applications

Student's t-testPrediction intervalsSATACTNormally distributed
7 related topics

Standardizing in mathematical statistics

Mathematical statisticsRandom variableExpected valueSample mean
4 related topics

T-score

HensachiJaThe T-score
3 related topics

Calculation

Standardized testingDimensionless quantity
2 related topics

Topics to explore

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Overview

Calculation

Applications

Standardizing in mathematical statistics

T-score

Advanced semantic analysis

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Map overview Semantic statistics

Standard score

Nodes32
Edges31
Triples17
Avg. degree1.94
Density0.0625
Components1

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Standard score

Top relations

related to T-score · 4
Standard score → In, It, Japanese, T-score
related to Prediction intervals · 2
Standard score → Pr, The
related to Calculation · 1
Standard score → If

Important terminology Word statistics

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Important terminology

standard mean score population deviation raw standardized z-score scores used statistics sample displaystyle act sat regression measured may variables coefficients

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
standardized testinginstance ofexcept in cases0.80text
where the entire population is measured.When the population meaninstance ofexcept in cases0.80text
the population standard deviation are unknowninstance ofexcept in cases0.80text
the standard score may be estimated by using the sample meaninstance ofexcept in cases0.80text
sample standard deviation as estimates of the population values.In these casesinstance ofexcept in cases0.80text
the z-score is given by zinstance ofexcept in cases0.80text
multidimensional scalinginstance ofFor some multivariate techniques0.80text
cluster analysisinstance ofFor some multivariate techniques0.80text
the concept of distance between the units in the data is often of considerable interestinstance ofFor some multivariate techniques0.80text
importanceinstance ofFor some multivariate techniques0.80text
Standard scorerelated to CalculationIf0.60section
Standard scorerelated to Prediction intervalsThe0.60section

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    Min side: 3
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