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Statistics for lawyers / Michael O. Finkelstein and Bruce Levin.

By: Contributor(s): Material type: TextTextSeries: Statistics for social and behavioral sciencesPublication details: New York : Springer, 2015.Edition: 3rd edDescription: xxxii, 661 pages : illustrations ; 25 cmISBN:
  • 9781441959843
Subject(s): DDC classification:
  • 000SB:340 23 F499
Contents:
1. Descriptive statistics -- 2. How to count -- 3. Elements of probability -- 4. Some probability distributions -- 5. Statistical inference for two proportions -- 6. Comparing multiple proportions -- 7. Comparing means -- 8. Combining evidence across independent strata -- 9. Sampling issues -- 10. Epidemiology -- 11. Survival analysis -- 12. Nonparametric methods -- 13. Regression models -- 14. More complex regression models.
Summary: This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty.
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With 58 figures.

Includes bibliographical references and index.

1. Descriptive statistics --
2. How to count --
3. Elements of probability --
4. Some probability distributions --
5. Statistical inference for two proportions --
6. Comparing multiple proportions --
7. Comparing means --
8. Combining evidence across independent strata --
9. Sampling issues --
10. Epidemiology --
11. Survival analysis --
12. Nonparametric methods --
13. Regression models --
14. More complex regression models.

This classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty.

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