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Analysis and comparison of bullet leads by inductively ... - Library

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Data <strong>Analysis</strong><br />

Pearson product correlation analyses were performed to see if<br />

any <strong>of</strong> the elements in Table 3 varied in step with any <strong>of</strong> the other<br />

elements. The only significantly high coefficient (.724) was for<br />

cadmium versus bismuth. This was determined to be due to a sin-<br />

TABLE 4—Elemental Compositions <strong>of</strong> Bullets (�g/g).<br />

KETO • BULLET LEADS 1023<br />

Br<strong>and</strong> Cu As Ag Cd Sn Sb Te Bi<br />

Anguila 1 135 � 7 650 � 20 7.0 � .08 0 0 3780 � 30 .06 � .04 95 � 1<br />

2 57 � 2 71 � 9 6.0 � .10 .09 � .03 0 3700 � 170 .21 � .01 86 � 3<br />

3 136 � 4 680 � 20 6.3 � .08 .13 � .06 0 3800 � 20 .09 � .01 96 � .3<br />

4 64 � 2 105 � 2 6.1 � .10 .10 � .09 0 3900 � 20 .28 � .02 87 � 2<br />

5 267 � 14 291 � 7 6.7 � .20 .13 � .05 0 3360 � 30 .17 � .02 98 � 4<br />

Cascade 1 79 � 5 144 � 5 22 � 0.1 2.1 � .05 970 � 20 14300 � 900 .13 � .03 211 � 9<br />

2 242 � 7 134 � 2 25 � 0.3 2.1 � .1 1430 � 80 17000 � 1300 .10 � .02 228 � 10<br />

3 225 � 15 115 � 10 22 � 1.5 2.0 � .2 1220 � 100 13000 � 2600 .06 � .03 210 � 9<br />

4 240 � 6 126 � 4 23 � 0.3 2.0 � .1 1370 � 10 16900 � 800 .09 � .02 220 � 10<br />

5 247 � 5 134 � 4 25 � 2.0 2.3 � .1 1270 � 110 18900 � 1800 .11 � .02 225 � 12<br />

Defence 1 7.0 � 2 2.9 � .2 5.6 � .06 .07 � .02 0 13400 � 300 .10 � .02 2.7 � .1<br />

2 246 � 2 58 � 1 9.4 � .2 .45 � .04 780 � 60 13700 � 1300 13.5 � .6 13.7 � .5<br />

3 192 � 6 16 � .4 7.9 � .1 .18 � .01 40 � .7 12800 � 1200 1.6 � .06 13.4 � .9<br />

4 191 � 1 19 � .7 6.7 � .1 .54 � .08 0 12800 � 1400 .40 � .002 11.0 � .6<br />

5 204 � 2 46 � 1 8.7 � .2 .36 � .01 640 � 20 14600 � 900 11.4 � .4 12.6 � .4<br />

Federal 1 230 � 4 .23 � .24 21 � .4 .16 � .09 .11 � .07 26 � 4 10.2 � .02 108 � 3<br />

2 218 � 1 31.5 � .3 21 � .2 0 .03 � .004 908 � 6 10.5 � .1 108 � 4<br />

3 235 � 5 .21 � .16 20 � .2 .19 � .04 .05 � .05 28 � 1 10.2 � .04 108 � 4<br />

4 235 � 2 .12 � .09 21 � .4 0 .01 � .01 22 � .2 10.3 � .1 107 � 2<br />

5 290 � 5 .24 � .08 20 � .2 .45 � .03 .08 � .03 79 � 1 9.3 � .2 110 � 1<br />

Interarms 1 32 � 2 0 51 � .7 3.0 � .02 0 0 0 214 � 4<br />

2 0 0 52 � .3 3.6 � .02 0 0 0 222 � 2<br />

3 685 � 22 0 12 � .3 .66 � .05 0 57 � 1 .09 � .02 421 � 12<br />

4 0 0 23 � .3 14 � .3 0 0 .14 � .01 1250 � 21<br />

5 203 � 2 0 25 � .4 5.9 � .1 0 24 � 2 .37 � .03 398 � 9<br />

Musgrave 1 49 � .4 36 � 2 76 � .3 .24 � .01 0 15100 � 3500 13 � 1 292 � 5<br />

2 42 � .5 33 � 2 66 � 1 .24 � .03 0 16000 � 2800 12 � 1 280 � 9<br />

3 47 � .5 36 � 2 76 � 1 .23 � .04 0 14300 � 2400 12 � .9 279 � 2<br />

4 38 � 1 60 � 4 58 � .6 .58 � .01 0 18000 � 4100 20 � 2 233 � 4<br />

5 48 � .6 38 � 2 71 � 1 .29 � .02 0 13800 � 1600 13 � .5 274 � 2<br />

Olin 1 29 � 1 .46 � .04 8.9 � .1 .05 � .02 0 1520 � 20 2.8 � .05 48 � 1<br />

2 42 � 16 .39 � .02 8.6 � .1 .04 � .03 0 1060 � 10 2.7 � .07 48 � 1<br />

3 24 � 1 .41 � .05 8.8 � .1 .03 � .02 0 1110 � 8 2.8 � .01 48 � .4<br />

4 20 � 4 .16 � .01 8.2 � .1 .08 � .01 0 453 � 6 1.5 � .04 42 � 1<br />

5 26 � 1 .51 � .06 8.9 � .1 .05 � .02 0 1180 � 15 2.7 � .05 48 � .8<br />

PMC 1 297 � 9 1.2 � .07 30 � .7 .85 � .05 0 4140 � 110 .49 � .03 25 � .7<br />

2 243 � 6 10.7 � .1 21 � .3 .94 � .02 306 � 8 7240 � 170 1.1 � .01 52 � .8<br />

3 242 � 2 13.0 � .4 22 � .2 4.4 � .1 207 � 13 6950 � 70 1.7 � .01 42 � .6<br />

4 228 � 2 12.1 � .2 16 � .4 1.2 � .01 149 � 2 7310 � 150 1.3 � .03 53 � .8<br />

5 233 � 5 11.8 � .1 19 � .4 1.4 � .02 177 � 6 7300 � 70 1.8 � .01 46 � .4<br />

Remington 1 770 � 60 11 � .9 20 � 1 1.1 � .05 0 7400 � 180 66 � 2 87 � 4<br />

2 771 � 40 11 � 2 20 � 3 1.0 � .04 0 7280 � 740 61 � 3 90 � 1<br />

3 1280 � 120 15 � .9 22 � .5 .31 � .01 0 6010 � 190 25 � 1 100 � 5<br />

4 19 � .9 .4 � .02 24 � 2 .24 � .02 0 7400 � 150 12 � 1 118 � 4<br />

5 762 � 50 11 � 1 21 � 1 1.1 � .04 0 7170 � 160 68 � 2 89 � 3<br />

Rio 1 311 � 6 988 � 20 12.2 � .4 3.6 � .06 754 � 95 12200 � 470 4.6 � .2 73 � .3<br />

2 285 � 5 933 � 11 10.1 � .6 3.0 � .05 639 � 71 10000 � 320 3.1 � .1 55 � .2<br />

3 314 � 1 1010 � 25 12.7 � .3 3.6 � .15 790 � 16 12500 � 330 4.8 � .1 74 � 1<br />

4 306 � 1 1030 � 12 12.7 � .3 3.6 � .04 781 � 18 12500 � 290 4.8 � .1 74 � .7<br />

5 198 � 8 668 � 15 11.2 � .2 1.6 � .08 439 � 44 12300 � 740 2.5 � .06 48 � 1<br />

Super-Vel 1 7 � 1 0 38 � 2 1.2 � .02 0 0 .03 � .01 283 � 27<br />

2 22 � 2 0 18 � 1 .77 � .05 0 8.7 � .2 5.6 � .3 373 � 18<br />

3 8 � 1 0 18 � 1 .77 � .05 0 1.3 � .1 5.6 � .3 294 � 34<br />

4 10 � 2 0 38 � 2 1.1 � .14 0 0 0 267 � 11<br />

5 10 � 2 0 40 � .5 1.2 � .05 0 0 0 267 � 4<br />

Toledo 1 58 � .3 29 � .6 3.4 � .2 0 0 11100 � 150 .18 � .10 1.7 � .1<br />

2 11 � 1 10.8 � .7 20 � .4 .8 � .05 0 11000 � 640 .22 � .02 18 � .2<br />

3 15 � 2 8.4 � .6 19 � .7 .6 � .08 0 7000 � 460 .21 � .01 16 � .6<br />

4 40 � 5 20 � 2 5.7 � .1 0 0 20300 � 610 .28 � .08 8.0 � .3<br />

5 10 � 1 4.2 � .4 23 � 3 .7 � .04 0 8300 � 130 .40 � .01 20 � 2<br />

gle sample (Interarms #4) in which both cadmium <strong>and</strong> bismuth far<br />

exceed any other sample, there<strong>by</strong> skewing the analysis. Scatter<br />

plots <strong>of</strong> each element against each <strong>of</strong> the other elements showed no<br />

visual correlations, either linear or non-linear.<br />

Table 5 lists the elemental ranges, means, <strong>and</strong> medians for the 60<br />

<strong>bullet</strong>s analyzed, averages for st<strong>and</strong>ard deviations <strong>and</strong> coefficients

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