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/BaseFont/ERYFKQ+CMSSBX10 733.3 733.3 733.3 702.8 794.4 641.7 611.1 733.3 794.4 330.6 519.4 763.9 580.6 977.8 PDF | The role and meaning of the coefficient of variation in mining geology and ore geology has been presented. /Name/F5 Please Subscribe here, thank you!!! Le coefficient de corrélation linéaire donne une mesure de l'intensité et du sens de la relation linéaire entre deux variables. 24 0 obj 2 Interpretation of the correlation coefficient The extreme values of r, that is, when r = ±1, indicate that there is perfect (positive or negative) correlation between X and Y. /Widths[350 602.8 958.3 575 958.3 894.4 319.4 447.2 447.2 575 894.4 319.4 383.3 319.4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 697.8 944.4 885.5 806.7 767.8 896.1 /FontDescriptor 8 0 R Find the coe cient of variation for x= f1;3;14g Example 6. 591.1 591.1 591.1 591.1 948.9 532.2 665 826.7 826.7 591.1 1022.8 1140.5 885.5 296.7 Export to PDF Skip to end of banner. 561.1 374.3 612.5 680.6 340.3 374.3 646.5 340.3 1020.8 680.6 612.5 680.6 646.5 506.3 As you can see in the picture below, we get the two coefficients of variation. /Type/Font 875 531.3 531.3 875 849.5 799.8 812.5 862.3 738.4 707.2 884.3 879.6 419 581 880.8 0 0 0 613.4 800 750 676.9 650 726.9 700 750 700 750 0 0 700 600 550 575 862.5 875 My data is concentration of certain contaminants within soil samples. 532.2 591.1 355.6 355.6 532.2 296.7 944.4 650 591.1 591.1 532.2 501.7 486.9 385 620.6 coefficient entropy measures are frequently used (e.g. It is generally expressed as a percentage. The higher the coefficient of variation, the greater the level of dispersion around the mean. /LastChar 196 355.6 591.1 591.1 591.1 591.1 591.1 591.1 591.1 591.1 591.1 591.1 591.1 355.6 355.6 >> To describe the variation, standard deviation, variance and coefficient of variation can be used. 591.1] /FontDescriptor 26 0 R /Widths[272 489.6 816 489.6 816 761.6 272 380.8 380.8 489.6 761.6 272 326.4 272 489.6 X i = i th random variable; X = Mean of the data series; N = number of variables in the data series; Step by Step Calculation. endobj %PDF-1.2 /FirstChar 33 21 0 obj Jira links; Go to start of banner. 675.9 1067.1 879.6 844.9 768.5 844.9 839.1 625 782.4 864.6 849.5 1162 849.5 849.5 /Subtype/Type1 299.2 489.6 489.6 489.6 489.6 489.6 734 435.2 489.6 707.2 761.6 489.6 883.8 992.6 >> /FirstChar 33 Coefficient of variation: CV. 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 641.7 586.1 586.1 891.7 891.7 255.6 286.1 550 550 550 550 550 733.3 488.9 565.3 794.4 1262.5 922.2 922.2 748.6 340.3 636.1 340.3 612.5 340.3 340.3 595.5 680.6 544.4 680.6 /BaseFont/NIJDPZ+CMBXTI10 << 12 on the coefficient of variation assuming a time scale separation. 726.9 726.9 976.9 726.9 726.9 600 300 500 300 500 300 300 500 450 450 500 450 300 /FirstChar 33 /Type/Font endobj 558.3 343.1 550 305.6 305.6 525 561.1 488.9 561.1 511.1 336.1 550 561.1 255.6 286.1 531.3 826.4 826.4 826.4 826.4 0 0 826.4 826.4 826.4 1062.5 531.3 531.3 826.4 826.4 the Atkinson and Theil indices). My Coefficients of Variation are 67% and 47% as two examples. The coefficient of variation and the dispersion are two examples of widely used measures of variation. 15 0 obj 459 631.3 956.3 734.7 1159 954.9 920.1 835.4 920.1 915.3 680.6 852.1 938.5 922.2 /Type/Font Chapter 4.4 Mean, variation, standard deviation and coefficient of variation. 756.4 705.8 763.6 708.3 708.3 708.3 708.3 708.3 649.3 649.3 472.2 472.2 472.2 472.2 We show that their applicability in practice heavily depends on the existence of sufficiently many moments of the … 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 531.3 Sample Formulas vs Population Formulas When we have the whole population, each data point is known so you […] /Subtype/Type1 544 516.8 380.8 386.2 380.8 544 516.8 707.2 516.8 516.8 435.2 489.6 979.2 489.6 489.6 /Name/F7 /Name/F9 /Subtype/Type1 In statistical terms continuous variables are described by a mean and measures of variation. /FirstChar 33 /Type/Font In probability theory and statistics, the coefficient of variation (CV), also known as relative standard deviation (RSD), is a standardized measure of dispersion of a probability distribution or frequency distribution. 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