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COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITSName:
where \( s \) and \( \bar{x} \) denote the sample standard deviation and sample mean respectively. The coefficient of variation is sensitive to non-normality. An alternative statistic is the coefficient of dispersion which is defined as
with \( \tau \) and \( \eta \) denoting the mean absolute difference from the mean and the median, respectively. Another alternative is the coefficient of quartile dispersion which is defined as
with Q1 denoting the lower quartile (the 25-th percentile) and Q3 denoting the upper quartile (the 75-th percentile). These coefficients should typically only be used for ratio data. That is, the data should be continuous and have a meaningful zero. Although these statistics can be computed for data that is not on a ratio scale, the interpretation of them may not be meaningful. Currently, this command is only supported for non-negative data. If the response variable contains one or more negative numbers, an error message will be returned. The method for computing the coefficient of quartile dispersion confidence limit is from the Bonett paper (see References below). See the Bonett paper for the derivation and formula for this interval. Bonett recommends the coefficient of variation for normal (or nearly normal) data, the coefficient of dispersion for moderately non-normal data, and the coefficient of quartile dispersion given here for more extreme non-normal data.
CONFIDENCE LIMITS <y> <SUBSET/EXCEPT/FOR qualification> where <y> is the response variable; and where the <SUBSET/EXCEPT/FOR qualification> is optional. If LOWER is specified, a one-sided lower confidence limit is returned. If UPPER is specified, a one-sided upper confidence limit is returned. If neither is specified, a two-sided limit is returned. This syntax supports matrix arguments for the response variable.
CONFIDENCE LIMITS <y1> ... <yk> <SUBSET/EXCEPT/FOR qualification> where <y1> .... <yk> is a list of 1 to 30 response variables; and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax will generate a confidence interval for each of the response variables. The word MULTIPLE is optional. That is,
LIMITS Y1 Y2 Y3 is equivalent to
Y1 Y2 Y3 You can also use the TO syntax as in
Y1 TO Y10 If LOWER is specified, a one-sided lower confidence limit is returned. If UPPER is specified, a one-sided upper confidence limit is returned. If neither is specified, a two-sided limit is returned. This syntax supports matrix arguments for the response variables.
CONFIDENCE LIMITS <y> <x1> ... <xk> <SUBSET/EXCEPT/FOR qualification> where <y> is the response variable; <x1> .... <xk> is a list of 1 to 6 group-id variables; and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax performs a cross-tabulation of the <x1> ... <xk> and generates a confidence interval for each unique combination of the cross-tabulated values. For example, if X1 has 3 levels and X2 has 2 levels, six confidence intervals will be generated. If LOWER is specified, a one-sided lower confidence limit is returned. If UPPER is specified, a one-sided upper confidence limit is returned. If neither is specified, a two-sided limit is returned. This syntax does not support matrix arguments.
COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITS Y1 ... SUBSET TAG > 2 MULTIPLE COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITS Y1 TO Y5 REPLICATED COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITS Y X
Although Bonett does not specify which method he uses to compute the Q1 and Q3 values, it appears as if he is taking the mean of the two closest points. To use this method to compute Q1 and Q3, enter the command
Dataplot provides three additional methods (called R6, R7, and R8). Enter HELP QUANTILE for details on how these methods compute the quantiles. To use one of these methods, enter one of the following commands
SET QUANTILE METHOD R7 SET QUANTILE METHOD R8 The default method in Dataplot is R6. As the sample size gets larger, this should be less of an issue.
LET A = LOWER COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMIT Y In addition to the above LET commands, built-in statistics are supported for 20+ different commands (enter HELP STATISTICS for details).
QUARTILE COEFFICIENT OF DISPEERSION CONFIDENCE LIMITS QUARTILE COEFFICIENT OF VARIATION CONFIDENCE LIMITS
Bonett and Seier (2006), "Confidence Interval for a Coefficient of Dispersion", Biometrical Journal, Vol. 48, No. 1, pp. 144-148.
. Following data from Bonett paper . LET Y = DATA 0.2 0.5 1.1 1.4 1.8 2.3 2.5 2.7 3.5 4.4 4.6 5.4 5.4 ... 5.7 5.8 5.9 6.0 6.6 7.1 7.9 . SET WRITE DECIMALS 5 SET QUANTILE METHOD AVERAGE COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITS Y . LET ALPHA = 0.05 LET CQV = COEFFICIENT OF QUARTILE DISPERSION Y LET LCDL = LOWER COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMIT Y LET UCDL = UPPER COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMIT Y . PRINT CQV LCDL UCDLThe following output is generated Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Summary Statistics: Number of Observations: 20 Sample Lower Quartile: 2.05000 Sample Upper Quartile: 5.85000 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.48101 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.48101 0.34624 0.61870 90.0 0.48101 0.28164 0.76061 95.0 0.48101 0.25607 0.83655 99.0 0.48101 0.20089 1.06636 99.9 0.48101 0.15464 1.38523 PARAMETERS AND CONSTANTS-- CQV -- 0.48101 LCDL -- 0.25607 UCDL -- 0.83655Program 2: SKIP 25 READ GEAR.DAT Y X . SET WRITE DECIMALS 5 SET QUANTILE METHOD AVERAGE REPLICATED COEFFICIENT OF QUARTILE DISPERSION CONFIDENCE LIMITS Y XThe following output is generated Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 1.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99350 Sample Upper Quartile: 1.00000 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00326 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00326 0.00105 0.00284 90.0 0.00326 0.00091 0.00327 95.0 0.00326 0.00082 0.00361 99.0 0.00326 0.00057 0.00522 99.9 0.00326 0.00035 0.00847 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 2.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99650 Sample Upper Quartile: 1.00100 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00225 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00225 0.00045 0.00291 90.0 0.00225 0.00035 0.00379 95.0 0.00225 0.00026 0.00500 99.0 0.00225 0.00018 0.00711 99.9 0.00225 0.00008 0.01651 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 3.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99250 Sample Upper Quartile: 0.99800 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00276 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00276 0.00074 0.00280 90.0 0.00276 0.00061 0.00338 95.0 0.00276 0.00061 0.00339 99.0 0.00276 0.00044 0.00474 99.9 0.00276 0.00024 0.00875 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 4.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99450 Sample Upper Quartile: 1.00100 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00326 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00326 0.00112 0.00266 90.0 0.00326 0.00099 0.00301 95.0 0.00326 0.00084 0.00356 99.0 0.00326 0.00067 0.00444 99.9 0.00326 0.00043 0.00696 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 5.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.98300 Sample Upper Quartile: 0.99700 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00707 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00707 0.00279 0.00597 90.0 0.00707 0.00250 0.00665 95.0 0.00707 0.00220 0.00755 99.0 0.00707 0.00182 0.00915 99.9 0.00707 0.00113 0.01470 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 6.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99150 Sample Upper Quartile: 1.00550 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00701 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00701 0.00234 0.00699 90.0 0.00701 0.00200 0.00817 95.0 0.00701 0.00190 0.00858 99.0 0.00701 0.00136 0.01197 99.9 0.00701 0.00072 0.02258 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 7.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99600 Sample Upper Quartile: 1.00300 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00350 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00350 0.00068 0.00514 90.0 0.00350 0.00051 0.00686 95.0 0.00350 0.00046 0.00752 99.0 0.00350 0.00028 0.01263 99.9 0.00350 0.00013 0.02730 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 8.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99700 Sample Upper Quartile: 1.00200 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00250 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00250 0.00077 0.00215 90.0 0.00250 0.00067 0.00248 95.0 0.00250 0.00066 0.00249 99.0 0.00250 0.00042 0.00397 99.9 0.00250 0.00031 0.00533 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 9.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99550 Sample Upper Quartile: 1.00050 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00251 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00251 0.00067 0.00246 90.0 0.00251 0.00056 0.00295 95.0 0.00251 0.00056 0.00297 99.0 0.00251 0.00036 0.00456 99.9 0.00251 0.00018 0.00899 Two-Sided Confidence Limit for the Coefficient of Quartile Dispersion Response Variable: Y Factor Variable 1: X 10.00000 Summary Statistics: Number of Observations: 10 Sample Lower Quartile: 0.99100 Sample Upper Quartile: 0.99700 Quantile Method: Average Sample Coefficient of Quartile Disp: 0.00302 --------------------------------------------------------------- Confidence Coefficient of Lower Upper Value (%) Quartile Dispersion Limit Limit --------------------------------------------------------------- 80.0 0.00302 0.00073 0.00345 90.0 0.00302 0.00058 0.00430 95.0 0.00302 0.00047 0.00531 99.0 0.00302 0.00034 0.00740 99.9 0.00302 0.00018 0.01374
Date created: 12/12/2017 |
Last updated: 12/11/2023 Please email comments on this WWW page to [email protected]. |