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Statistics for Lawyers

  • Textbook
  • © 1990

Overview

Authors:
  1. Michael O. Finkelstein

    1. Lord Day & Lord, Barrett Smith, New York, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Bruce Levin

    1. School of Public Health Division of Biostatistics, Columbia University, New York, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxii
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  2. Descriptive Statistics

    • Michael O. Finkelstein, Bruce Levin
    Pages 1-61

  3. Methods of Counting

    • Michael O. Finkelstein, Bruce Levin
    Pages 62-75

  4. Elements of Probability

    • Michael O. Finkelstein, Bruce Levin
    Pages 76-110

  5. Some Probability Distributions

    • Michael O. Finkelstein, Bruce Levin
    Pages 111-155

  6. Statistical Inference for Two Proportions

    • Michael O. Finkelstein, Bruce Levin
    Pages 156-201

  7. Comparing Multiple Proportions

    • Michael O. Finkelstein, Bruce Levin
    Pages 202-223

  8. Comparing Means

    • Michael O. Finkelstein, Bruce Levin
    Pages 224-240

  9. Combining Evidence Across Independent Strata

    • Michael O. Finkelstein, Bruce Levin
    Pages 241-257

  10. Sampling Issues

    • Michael O. Finkelstein, Bruce Levin
    Pages 258-283

  11. Survival Analysis

    • Michael O. Finkelstein, Bruce Levin
    Pages 284-308

  12. Nonparametric Methods

    • Michael O. Finkelstein, Bruce Levin
    Pages 309-322

  13. Regression Models

    • Michael O. Finkelstein, Bruce Levin
    Pages 323-467

  14. Back Matter

    Pages 566-609
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Keywords

About this book

Statistics for Lawyers presents the science of statistics in action at the cutting edge of legal problems. A series of more than 90 case studies, drawn principally from actual litigation, have been selected to illustrate important areas of the law in which statistics has played a role and to demonstrate a variety of statistical tools. Some case studies raise legal issues that are being intensely debated and lie at the edge of the law. Of particular note are problems involving toxic torts, employment discrimination, stock market manipulation, paternity, tax legislation, and drug testing. The case studies are presented in the form of legal/statistical puzzles to challenge the reader and focus discussion on the legal implications of statistical findings. The techniques range from simple averaging for the estimation of thefts from parking meters to complex logistic regression models for the demonstration of discrimination in the death penalty. Excerpts of data allow the reader to compute statistical results and an appendix contains the authors' calculations.

Authors and Affiliations

  • Lord Day & Lord, Barrett Smith, New York, USA

    Michael O. Finkelstein

  • School of Public Health Division of Biostatistics, Columbia University, New York, USA

    Bruce Levin

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