Abstract
Forensic toxicologists routinely deal with the analysis of numerical data. Statistical methods have a wide variety of applications, from initial method development and data interpretation to method validation and measurement uncertainty. In this chapter, basic concepts including data distributions, types of error, and hypothesis testing are explored. Using illustrative examples from forensic toxicology, the use of statistical tests is discussed, including the Student’s t-test and some of its variants, F-tests, and analysis of variance (ANOVA). The treatment of outliers, regression analysis, and tools for the evaluation of calibration models are also discussed.
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Further Reading
ANSI/ASB 036: Standard Practices for Method Validation in Forensic Toxicology
Bell, S (2006) Statistics, Sampling, and Data Quality in Forensic Chemistry. Pearson Prentice Hall, Saddle River, NJ
Curran MJ (2011) Introduction to data analysis with R for forensic scientists. CRC Press, Taylor & Francis Group, Boca Raton, FL
ENFSI. Guideline for evaluative reporting in forensic science. Strengthening the Evaluation of Forensic Results across Europe (STEOFRAE). European Network of Forensic Sciences Institutes (2015)
Lucy D (2005) Introduction to statistics for forensic scientists. John Wiley & Sons, Chichester, UK
Miller JN, Miller JC, Miller RD (2018) Statistics and chemometrics for analytical chemistry, 7th edn. Pearson Education Ltd, Harlow, UK
Robertson B, Vignaux GA, CEH B (2016) Interpreting evidence: Evaluating forensic science in the courtroom. John Wiley & Sons, Chichester
Skoog DA, West DM, Holler FJ (1994) Analytical chemistry – An introduction, 6th edn. Saunders College Publishing, Harcourt Brace College Publishers, Philadelphia, PA
Taroni F, Bozza S, Biedermann A, Garbolino P, Aitken C (2010) Data analysis in forensic science – A Bayesian decision perspective. John Wiley & Sons, Chichester
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Appendices
Appendix 1: Table of the critical values for the Student’s t-distribution
α – upper tail probability p | |||||||
---|---|---|---|---|---|---|---|
d.f. | 0.10 | 0.05 | 0.025 | 0.01 | 0.005 | 0.001 | 0.0005 |
1 | 3.078 | 6.314 | 12.076 | 31.821 | 63.657 | 318.310 | 636.620 |
2 | 1.886 | 2.920 | 4.303 | 6.965 | 9.925 | 22.326 | 31.598 |
3 | 1.638 | 2.353 | 3.182 | 4.541 | 5.841 | 10.213 | 12.924 |
4 | 1.533 | 2.132 | 2.776 | 3.747 | 4.604 | 7.173 | 8.610 |
5 | 1.476 | 2.015 | 2.571 | 3.365 | 4.032 | 5.893 | 6.869 |
6 | 1.440 | 1.943 | 2.447 | 3.143 | 3.707 | 5.208 | 5.959 |
7 | 1.415 | 1.895 | 2.365 | 2.998 | 3.499 | 4.785 | 5.408 |
8 | 1.397 | 1.860 | 2.306 | 2.896 | 3.355 | 4.501 | 5.041 |
9 | 1.383 | 1.833 | 2.262 | 2.821 | 3.250 | 4.297 | 4.781 |
10 | 1.372 | 1.812 | 2.228 | 2.764 | 3.169 | 4.144 | 4.587 |
11 | 1.363 | 1.796 | 2.201 | 2.718 | 3.106 | 4.025 | 4.437 |
12 | 1.356 | 1.782 | 2.179 | 2.681 | 3.055 | 3.930 | 4.318 |
13 | 1.350 | 1.771 | 2.160 | 2.650 | 3.012 | 3.852 | 4.221 |
14 | 1.345 | 1.761 | 2.145 | 2.624 | 2.977 | 3.787 | 4.140 |
15 | 1.341 | 1.753 | 2.131 | 2.602 | 2.947 | 3.733 | 4.073 |
16 | 1.337 | 1.746 | 2.120 | 2.583 | 2.921 | 3.686 | 4.015 |
17 | 1.333 | 1.740 | 2.110 | 2.567 | 2.898 | 3.646 | 3.965 |
18 | 1.330 | 1.734 | 2.101 | 2.552 | 2.878 | 3.610 | 3.922 |
19 | 1.328 | 1.729 | 2.093 | 2.539 | 2.861 | 3.579 | 3.883 |
20 | 1.325 | 1.725 | 2.086 | 2.528 | 2.845 | 3.552 | 3.850 |
21 | 1.323 | 1.721 | 2.080 | 2.518 | 2.831 | 3.527 | 3.819 |
22 | 1.321 | 1.717 | 2.074 | 2.508 | 2.819 | 3.505 | 3.792 |
23 | 1.319 | 1.714 | 2.069 | 2.500 | 2.807 | 3.485 | 3.767 |
24 | 1.318 | 1.711 | 2.064 | 2.492 | 2.797 | 3.467 | 3.745 |
25 | 1.316 | 1.708 | 2.060 | 2.485 | 2.787 | 3.450 | 3.725 |
26 | 1.315 | 1.706 | 2.056 | 2.479 | 2.779 | 3.435 | 3.707 |
27 | 1.314 | 1.703 | 2.052 | 2.473 | 2.771 | 3.421 | 3.690 |
28 | 1.313 | 1.701 | 2.048 | 2.467 | 2.763 | 3.408 | 3.674 |
29 | 1.311 | 1.699 | 2.045 | 2.462 | 2.756 | 3.396 | 3.659 |
30 | 1.310 | 1.697 | 2.042 | 2.457 | 2.750 | 3.385 | 3.646 |
40 | 1.303 | 1.684 | 2.021 | 2.423 | 2.704 | 3.307 | 3.551 |
60 | 1.296 | 1.671 | 2.000 | 2.390 | 2.660 | 3.232 | 3.460 |
120 | 1.289 | 1.658 | 1.980 | 2.358 | 2.617 | 3.160 | 3.373 |
1000 | 1.282 | 1.646 | 1.962 | 2.330 | 2.581 | 3.098 | 3.300 |
z | 1.282 | 1.645 | 1.960 | 2.326 | 2.576 | 3.091 | 3.291 |
80% | 90% | 95% | 98% | 99% | 99.8% | 99.9% | |
Confidence level C |
Appendix 2: Table of selected critical values for the F distribution for sample sets of 10 objects or 9 degrees of freedom and a significance level at α = 0.05. Refer to rows α = 0.05 for a one-tailed test and rows α = 0.025 for a two-tailed test
d.f. in the numerator | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
α | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
d.f. in the denominator | 1 | 0.05 | 161.45 | 199.50 | 215.71 | 224.58 | 230.16 | 233.99 | 236.77 | 238.88 | 240.54 |
0.025 | 647.79 | 799.50 | 864.16 | 899.58 | 921.85 | 937.11 | 948.22 | 956.66 | 963.28 | ||
2 | 0.05 | 18.51 | 19.00 | 19.16 | 19.25 | 19.30 | 19.33 | 19.35 | 19.37 | 19.38 | |
0.025 | 38.51 | 39.00 | 39.17 | 39.25 | 39.30 | 39.33 | 39.36 | 39.37 | 39.39 | ||
3 | 0.05 | 10.13 | 9.55 | 9.28 | 9.12 | 9.01 | 8.94 | 8.89 | 8.85 | 8.81 | |
0.025 | 17.44 | 16.04 | 15.44 | 15.10 | 14.88 | 14.73 | 14.62 | 14.54 | 14.47 | ||
4 | 0.05 | 7.71 | 6.94 | 6.59 | 6.39 | 6.26 | 6.16 | 6.09 | 6.04 | 6.00 | |
0.025 | 12.22 | 10.65 | 9.98 | 9.60 | 9.36 | 9.20 | 9.07 | 8.98 | 8.90 | ||
5 | 0.05 | 6.61 | 5.79 | 5.41 | 5.19 | 5.05 | 4.95 | 4.88 | 4.82 | 4.77 | |
0.025 | 10.01 | 8.43 | 7.76 | 7.39 | 7.15 | 6.98 | 6.85 | 6.76 | 6.68 | ||
6 | 0.05 | 5.99 | 5.14 | 4.76 | 4.53 | 4.39 | 4.28 | 4.21 | 4.15 | 4.10 | |
0.025 | 8.81 | 7.26 | 6.60 | 6.23 | 5.99 | 5.82 | 5.70 | 5.60 | 5.52 | ||
7 | 0.05 | 5.59 | 4.74 | 4.35 | 4.12 | 3.97 | 3.87 | 3.79 | 3.73 | 3.68 | |
0.025 | 8.07 | 6.54 | 5.89 | 5.52 | 5.29 | 5.12 | 4.99 | 4.90 | 4.82 | ||
8 | 0.05 | 5.32 | 4.46 | 4.07 | 3.84 | 3.69 | 3.58 | 3.50 | 3.44 | 3.39 | |
0.025 | 7.57 | 6.06 | 5.42 | 5.05 | 4.82 | 4.65 | 4.53 | 4.43 | 4.36 | ||
9 | 0.05 | 5.12 | 4.26 | 3.86 | 3.63 | 3.48 | 3.37 | 3.29 | 3.23 | 3.18 | |
0.025 | 7.21 | 5.71 | 5.08 | 4.72 | 4.48 | 4.32 | 4.20 | 4.10 | 4.03 |
Appendix 3: Table of critical values of the Q test statistic (P = 0.05)
Q test statistic | Significance level α | |||
---|---|---|---|---|
n | 0.10 | 0.05 | 0.01 | |
\( Q=\frac{x_2-{x}_1}{x_n-{x}_1} \) | 3 | 0.886 | 0.941 | 0.988 |
4 | 0.679 | 0.765 | 0.889 | |
5 | 0.557 | 0.642 | 0.780 | |
6 | 0.482 | 0.560 | 0.698 | |
7 | 0.434 | 0.507 | 0.637 | |
\( Q=\frac{x_2-{x}_1}{x_{n-1}-{x}_1} \) | 8 | 0.479 | 0.554 | 0.683 |
9 | 0.441 | 0.512 | 0.635 | |
10 | 0.409 | 0.477 | 0.597 | |
\( Q=\frac{x_3-{x}_1}{x_{n-1}-{x}_1} \) | 11 | 0.517 | 0.576 | 0.679 |
12 | 0.490 | 0.546 | 0.642 | |
13 | 0.467 | 0.521 | 0.615 | |
\( Q=\frac{x_3-{x}_1}{x_{n-2}-{x}_1} \) | 14 | 0.492 | 0.546 | 0.641 |
15 | 0.472 | 0.525 | 0.616 | |
16 | 0.454 | 0.507 | 0.595 | |
17 | 0.438 | 0.490 | 0.577 | |
18 | 0.424 | 0.475 | 0.561 | |
19 | 0.412 | 0.462 | 0.547 | |
20 | 0.401 | 0.450 | 0.535 | |
21 | 0.391 | 0.440 | 0.524 | |
22 | 0.382 | 0.430 | 0.514 | |
23 | 0.374 | 0.421 | 0.505 | |
24 | 0.367 | 0.413 | 0.497 | |
25 | 0.360 | 0.406 | 0.489 |
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Buzzini, P., Kerrigan, S. (2020). Statistics for Forensic Toxicology. In: Levine, B.S., KERRIGAN, S. (eds) Principles of Forensic Toxicology. Springer, Cham. https://doi.org/10.1007/978-3-030-42917-1_18
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