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- Standard_score abstract "In statistics, the standard score is the (signed) number of standard deviations an observation or datum is above the mean. Thus, a positive standard score represents a datum above the mean, while a negative standard score represents a datum below the mean. It is a dimensionless quantity obtained by subtracting the population mean from an individual raw score and then dividing the difference by the population standard deviation. This conversion process is called standardizing or normalizing (however, "normalizing" can refer to many types of ratios; see normalization (statistics) for more).Standard scores are also called z-values, z-scores, normal scores, and standardized variables; the use of "Z" is because the normal distribution is also known as the "Z distribution". They are most frequently used to compare a sample to a standard normal deviate (standard normal distribution, with μ = 0 and σ = 1), though they can be defined without assumptions of normality.The z-score is only defined if one knows the population parameters; if one only has a sample set, then the analogous computation with sample mean and sample standard deviation yields the Student's t-statistic.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.".
- Standard_score thumbnail Normal_distribution_and_scales.gif?width=300.
- Standard_score wikiPageExternalLink ?id=gccHkMDikb0C.
- Standard_score wikiPageExternalLink standardCurve.htm.
- Standard_score wikiPageID "221722".
- Standard_score wikiPageRevisionID "590943375".
- Standard_score hasPhotoCollection Standard_score.
- Standard_score subject Category:Statistical_ratios.
- Standard_score subject Category:Statistical_terminology.
- Standard_score type Abstraction100002137.
- Standard_score type MagnitudeRelation113815152.
- Standard_score type Ratio113819207.
- Standard_score type Relation100031921.
- Standard_score type StatisticalRatios.
- Standard_score comment "In statistics, the standard score is the (signed) number of standard deviations an observation or datum is above the mean. Thus, a positive standard score represents a datum above the mean, while a negative standard score represents a datum below the mean. It is a dimensionless quantity obtained by subtracting the population mean from an individual raw score and then dividing the difference by the population standard deviation.".
- Standard_score label "Standard score".
- Standard_score label "Standardisierung (Statistik)".
- Standard_score label "Standardizzazione (statistica)".
- Standard_score label "Standaryzacja (statystyka)".
- Standard_score label "Unidad tipificada".
- Standard_score label "Variable centrée réduite".
- Standard_score label "Z-score".
- Standard_score label "偏差値".
- Standard_score label "標準分數".
- Standard_score sameAs Standardisierung_(Statistik).
- Standard_score sameAs Unidad_tipificada.
- Standard_score sameAs Estandarizazio_(estatistika).
- Standard_score sameAs Variable_centrée_réduite.
- Standard_score sameAs Standardizzazione_(statistica).
- Standard_score sameAs 偏差値.
- Standard_score sameAs 표준_점수.
- Standard_score sameAs Z-score.
- Standard_score sameAs Standaryzacja_(statystyka).
- Standard_score sameAs m.01gcdn.
- Standard_score sameAs Q1050272.
- Standard_score sameAs Q1050272.
- Standard_score sameAs Standard_score.
- Standard_score wasDerivedFrom Standard_score?oldid=590943375.
- Standard_score depiction Normal_distribution_and_scales.gif.
- Standard_score isPrimaryTopicOf Standard_score.
