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WEIGHTED STANDARD DEVIATION

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WEIGHTED STANDARD DEVIATIONStatistics LET Subcommands2-66September 3, 1996DATAPLOT Reference ManualWEIGHTED STANDARD DEVIATIONPURPOSECompute the WEIGHTED STANDARD DEVIATION of a formula for the STANDARD DEVIATION is:(EQ 2-21)while the formula for the WEIGHTED STANDARD DEVIATION is:(EQ 2-22)where wi is the weight for the ith observation, N is the number of non-zero weights, andxw is the WEIGHTED mean of the error message is printed if a negative weight is encountered. WEIGHTED STANDARD deviations are often used for frequency <par> = WEIGHTED STANDARD DEVIATION <y> <weights> <SUBSET/EXCEPT/FOR qualification>where <y> is a response variable; <weights> is a variable containing the weights; <par> is a parameter where the WEIGHTED STANDARD DEVIATION is saved;and where the <SUBSET/EXCEPT/FOR qualification> is STANDARD DEVIATION = WEIGHTED MEAN Y1 WEIGHTLET STANDARD DEVIATION = WEIGHTED MEAN Y1 WEIGHT SUBSET TAG > 2DEFAULTNoneSYNONYMSNoneRELATED COMMANDSMEAN=Compute the mean of a the median of a DEVIATION =Compute the STANDARD DEVIATION of a the variance of a MEAN=Compute the WEIGHTED mean of a VARIANCE=Compute the WEIGHTED variance of a AnalysisIMPLEMENTATION DATE94/11 (there was an error in the computation for earli)

Statistics LET Subcommands WEIGHTED STANDARD DEVIATION DATAPLOT Reference Manual September 3, 1996 2-67 PROGRAM LET Y = DATA 2 3 5 7 11 13 17 19 23 LET W = DATA 1 1 0 0 4 1 2 1 0 LET A = STANDARD DEVIATION Y LET AW = WEIGHTED STANDARD DEVIATION Y W PRINT A AW The values of A and AW are 7.46 and 5.82 respectively.

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