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COEFFICIENT OF 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. The coefficients of variation and dispersion 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 dispersion confidence limit is from the Bonett paper (see References below). Dataplot uses a Fortran implementation of the R code given in the paper. See the Bonett paper for the derivation and formula for this interval. According to simulation studies by Bonett, the confidence interval tends to perform as well or better as the BCa bootstrap interval and significantly better than the percentile bootstrap. Bonett also recommends the coefficient of dispersion statistic for moderately non-normal data. For more extreme non-normality, large sample sizes may be required for decent performance. For the more extreme non-normal data sets, the quartile coefficient of dispersion may be preferred.
<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,
Y1 Y2 Y3 is equivalent to
You can also use the TO syntax as in
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 DISPERSION CONFIDENCE LIMITS Y1 SUBSET TAG > 2 MULTIPLE COEFFICIENT OF DISPERSION CONFIDENCE LIMITS Y1 TO Y5 REPLICATED COEFFICIENT OF DISPERSION CONFIDENCE LIMITS Y X
LET A = LOWER COEFFICIENT OF 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).
Bonett (2006), "Confidence Interval for a Coefficient of Quartile Variation", Computational Statistics and Data Analysis, Vol. 50, pp. 2953-2957.
SKIP 25 READ WEIBBURY.DAT Y . SET WRITE DECIMALS 5 COEFFICIENT OF DISPERSION CONFIDENCE LIMITS Y . LET LCD = COEFFICIENT OF DISPERSION Y LET LCDL = LOWER COEFFICIENT OF DISPERSION CONFIDENCE LIMIT Y LET UCDL = UPPER COEFFICIENT OF DISPERSION CONFIDENCE LIMIT Y . PRINT CD LCDL UCDLThe following output was generated Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Summary Statistics: Number of Observations: 20 Sample Median: 53.75000 Sample Average Absolute Deviation: 6.26000 Sample Coefficient of Dispersion: 0.11647 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.11647 0.11024 0.14011 80.0 0.11647 0.10048 0.16025 90.0 0.11647 0.09354 0.17218 95.0 0.11647 0.08982 0.17931 99.0 0.11647 0.08297 0.19831 99.9 0.11647 0.07036 0.22321 PARAMETERS AND CONSTANTS-- COD -- 0.11647 LCDL -- 0.08982 UCDL -- 0.17931Program 2: SKIP 25 READ GEAR.DAT Y X . SET WRITE DECIMALS 5 REPLICATED COEFFICIENT OF DISPERSION CONFIDENCE LIMITS Y XThe following output was generated Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 1.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99850 Sample Average Absolute Deviation: 0.00340 Sample Coefficient of Dispersion: 0.00341 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00341 0.00318 0.00000 80.0 0.00341 0.00273 0.00526 90.0 0.00341 0.00249 0.00577 95.0 0.00341 0.00229 0.00626 99.0 0.00341 0.00195 0.00733 99.9 0.00341 0.00195 0.00733 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 2.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99900 Sample Average Absolute Deviation: 0.00370 Sample Coefficient of Dispersion: 0.00370 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00370 0.00333 0.00000 80.0 0.00370 0.00275 0.00615 90.0 0.00370 0.00246 0.00689 95.0 0.00370 0.00222 0.00761 99.0 0.00370 0.00183 0.00929 99.9 0.00370 0.00183 0.00929 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 3.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99600 Sample Average Absolute Deviation: 0.00280 Sample Coefficient of Dispersion: 0.00281 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00281 0.00251 0.00000 80.0 0.00281 0.00205 0.00474 90.0 0.00281 0.00183 0.00534 95.0 0.00281 0.00165 0.00593 99.0 0.00281 0.00135 0.00727 99.9 0.00281 0.00135 0.00727 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 4.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99700 Sample Average Absolute Deviation: 0.00320 Sample Coefficient of Dispersion: 0.00321 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00321 0.00302 0.00000 80.0 0.00321 0.00261 0.00486 90.0 0.00321 0.00239 0.00530 95.0 0.00321 0.00222 0.00573 99.0 0.00321 0.00191 0.00664 99.9 0.00321 0.00191 0.00664 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 5.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99450 Sample Average Absolute Deviation: 0.00610 Sample Coefficient of Dispersion: 0.00613 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00613 0.00568 0.00000 80.0 0.00613 0.00482 0.00970 90.0 0.00613 0.00438 0.01069 95.0 0.00613 0.00402 0.01166 99.0 0.00613 0.00340 0.01377 99.9 0.00613 0.00340 0.01377 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 6.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99750 Sample Average Absolute Deviation: 0.00740 Sample Coefficient of Dispersion: 0.00742 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00742 0.00680 0.00000 80.0 0.00742 0.00574 0.01181 90.0 0.00742 0.00515 0.01309 95.0 0.00742 0.00471 0.01439 99.0 0.00742 0.00397 0.01709 99.9 0.00742 0.00397 0.01709 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 7.00000 Summary Statistics: Number of Observations: 10 Sample Median: 1.00050 Sample Average Absolute Deviation: 0.00550 Sample Coefficient of Dispersion: 0.00550 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00550 0.00490 0.00000 80.0 0.00550 0.00401 0.00931 90.0 0.00550 0.00356 0.01048 95.0 0.00550 0.00320 0.01161 99.0 0.00550 0.00260 0.01427 99.9 0.00550 0.00260 0.01427 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 8.00000 Summary Statistics: Number of Observations: 10 Sample Median: 1.00000 Sample Average Absolute Deviation: 0.00280 Sample Coefficient of Dispersion: 0.00280 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00280 0.00260 0.00000 80.0 0.00280 0.00222 0.00436 90.0 0.00280 0.00202 0.00479 95.0 0.00280 0.00185 0.00521 99.0 0.00280 0.00158 0.00612 99.9 0.00280 0.00158 0.00612 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 9.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99800 Sample Average Absolute Deviation: 0.00310 Sample Coefficient of Dispersion: 0.00311 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00311 0.00286 0.00000 80.0 0.00311 0.00240 0.00494 90.0 0.00311 0.00217 0.00547 95.0 0.00311 0.00199 0.00598 99.0 0.00311 0.00167 0.00713 99.9 0.00311 0.00167 0.00713 Two-Sided Confidence Limit for the Coefficient of Dispersion Response Variable: Y Factor Variable 1: X 10.00000 Summary Statistics: Number of Observations: 10 Sample Median: 0.99600 Sample Average Absolute Deviation: 0.00380 Sample Coefficient of Dispersion: 0.00382 --------------------------------------------------------- Confidence Coefficient Lower Upper Value (%) of Dispersion Limit Limit --------------------------------------------------------- 50.0 0.00382 0.00340 0.00000 80.0 0.00382 0.00279 0.00646 90.0 0.00382 0.00248 0.00728 95.0 0.00382 0.00224 0.00806 99.0 0.00382 0.00182 0.00992 99.9 0.00382 0.00182 0.00992
Date created: 12/07/2017 |
Last updated: 12/11/2023 Please email comments on this WWW page to [email protected]. |