SED navigation bar go to SED home page go to Dataplot home page go to NIST home page SED Home Page SED Staff SED Projects SED Products and Publications Search SED Pages
Dataplot Vol 2 Vol 1

ISO 13528 ZSCORE

Name:
    ISO 13528 ZSCORE (LET)
Type:
    Let Subcommand
Purpose:
    Generate a z-score based on the ISO 13528 standard.
Description:
    The standard definition of a z-score is

      Z(i) = (X(i) - xbar)/s

    with xbar and s denoting the sample mean and standard deviation, respectively.

    The ISO 13528 standard for proficiency testing defines the following z-score

      Z(i) = (X(i) - Xref)/sigma

    with Xref and sigma denoting the "assigned value" and the standard deviation of the proficiency assessment, respectively.

    Determing an assigned value is discussed on pages 5-10 of the standard. Determining a value for sigma is discussed on pages 15-18 of the standard.

    Since there are a mumber of different methods for determining Xref and sigma, these values will be defined by the user rather than being determined from the data.

    The ISO 13528 standard recommends that z-scores with an absolute value greater than 3 should be considered an "action signal" and those with an absolute value greater than 2 should be considered a "warning signal".

Syntax:
    LET <y> = ISO 13528 ZSCORE <x> <xref> <sigma>
                            <SUBSET/EXCEPT/FOR qualification>
    where <x> is the response variable;
                <xref> is a parameter that defines the assigned value;
                <sigma> is a parameter that defines the assigned value;
                <y> is a variable where the z-score values are stored;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET Z = ISO 13528 ZSCORE X XREF SIGMA
Default:
    None
Synonyms:
    None
Related Commands: Reference:
    ISO 13528, First Edition, Statistical Methods for Use in Proficiency Testing by Interlaboratory Comparisons, 2005, pp. 25-26.
Applications:
    Proficiency Testing
Implementation Date:
    2012/1
Program:
     
    .  Note: this example is just meant to demostrate the
    .        mechanics of the command.  This is not in fact
    .        proficiency data, but it can be used to demonstrate
    .        how to use the command.
    .
    skip 25
    read gear.dat y x
    .
    let xref  = 1.
    let sigma = sd y
    .
    let yz = iso 13528 zscore y xref sigma
    .
    set write decimals 3
    print x y yz
        
    The following output is generated.
    ---------------------------------------------
                  X              Y             YZ
    ---------------------------------------------
              1.000          1.006          0.955
              1.000          0.996         -0.637
              1.000          0.998         -0.318
              1.000          1.000          0.000
              1.000          0.992         -1.274
              1.000          0.993         -1.114
              1.000          1.002          0.318
              1.000          0.999         -0.159
              1.000          0.994         -0.955
              1.000          1.000          0.000
              2.000          0.998         -0.318
              2.000          1.006          0.955
              2.000          1.000          0.000
              2.000          1.002          0.318
              2.000          0.997         -0.477
              2.000          0.998         -0.318
              2.000          0.996         -0.637
              2.000          1.000          0.000
              2.000          1.006          0.955
              2.000          0.988         -1.911
              3.000          0.991         -1.433
              3.000          0.987         -2.070
              3.000          0.997         -0.477
              3.000          0.999         -0.159
              3.000          0.995         -0.796
              3.000          0.994         -0.955
              3.000          1.000          0.000
              3.000          0.999         -0.159
              3.000          0.996         -0.637
              3.000          0.996         -0.637
              4.000          1.004          0.796
              4.000          1.002          0.318
              4.000          0.994         -0.955
              4.000          1.000          0.000
              4.000          0.995         -0.796
              4.000          0.994         -0.955
              4.000          0.998         -0.318
              4.000          0.996         -0.637
              4.000          1.002          0.318
              4.000          0.996         -0.637
              5.000          0.998         -0.318
              5.000          0.998         -0.318
              5.000          0.982         -2.866
              5.000          0.990         -1.592
              5.000          1.002          0.318
              5.000          0.984         -2.548
              5.000          0.996         -0.637
              5.000          0.993         -1.114
              5.000          0.980         -3.185
              5.000          0.996         -0.637
              6.000          1.008          1.433
              6.000          1.012          2.070
              6.000          1.008          1.433
              6.000          0.997         -0.477
              6.000          0.988         -1.911
              6.000          1.002          0.318
              6.000          0.995         -0.796
              6.000          0.998         -0.318
              6.000          0.981         -3.026
              6.000          0.996         -0.637
              7.000          0.990         -1.592
              7.000          1.004          0.637
              7.000          0.996         -0.637
              7.000          1.000          0.159
              7.000          0.998         -0.318
              7.000          1.000          0.000
              7.000          1.018          2.866
              7.000          1.010          1.592
              7.000          0.996         -0.637
              7.000          1.002          0.318
              8.000          0.998         -0.318
              8.000          1.000          0.000
              8.000          1.006          0.955
              8.000          1.000          0.000
              8.000          1.002          0.318
              8.000          0.996         -0.637
              8.000          0.998         -0.318
              8.000          0.996         -0.637
              8.000          1.002          0.318
              8.000          1.006          0.955
              9.000          1.002          0.318
              9.000          0.998         -0.318
              9.000          0.996         -0.637
              9.000          0.995         -0.796
              9.000          0.996         -0.637
              9.000          1.004          0.637
              9.000          1.004          0.637
              9.000          0.998         -0.318
              9.000          0.999         -0.159
              9.000          0.991         -1.433
             10.000          0.991         -1.433
             10.000          0.995         -0.796
             10.000          0.984         -2.548
             10.000          0.994         -0.955
             10.000          0.997         -0.477
             10.000          0.997         -0.477
             10.000          0.991         -1.433
             10.000          0.998         -0.318
             10.000          1.004          0.637
             10.000          0.997         -0.477
        

Date created: 01/27/2012
Last updated: 01/27/2012
Please email comments on this WWW page to alan.heckert@nist.gov.