03952nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001700166072002300183072001600206100008500222245014100307250001800448264006100466300003700527336002600564337002600590338003600616347002400652490006900676505057900745520162801324650004202952650000902994650009903003650002503102650000903127700007503136710003403211773002603245776003603271776003603307776003603343830006903379856004603448978-1-0716-4156-9DE-He21320251030114650.0cr nn 008mamaa241230s2024    xxu|    s    |||| 0|eng d  a97810716415697 a10.1007/978-1-0716-4156-92doi 4aHA1-4737 7aJHBC2bicssc 7aSOC0270002bisacsh 7aJHBC2thema1 aFinkelstein, Michael O.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aStatistics for Lawyersh[electronic resource] :bStatistics for Social and Behavioral Science /cby Michael O. Finkelstein, Bruce Levin.  a4th ed. 2024. 1aNew York, NY :bSpringer US :bImprint: Springer,c2024.  aXXXVII, 695 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStatistics for Social and Behavioral Sciences,x2199-7365 ;v1890 aDescriptive Statistics -- Introduction to descriptive statistics -- How to Count -- Elements of Probability -- Some Probability Distributions -- Statistical Inference for Two Proportions -- Comparing Multiple Proportions -- Comparing Means -- Combining Evidence Across Independent Strata -- Sampling Issues -- Epidemiology -- Survival Analysis -- Nonparametric Methods -- Regression Models -- More Complex Regression Models -- Appendix I: Calculations and Comments on the Cases -- Appendix II: Tables -- Glossary of Symbols -- List of Cases -- Bibliography -- Subject Index.  aThis 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 fourth edition includes fourteen new sections, four inserts to the statistical text, and six new answer sections, on topics including the following: Use of prior probabilities after DNA database searches; Lipitor and diabetes; Harvard’s affirmative action practices in admissions; New York City garbage trucks; Tests of odds ratio homogeneity; Disparate impact of a pre-employment exam on minority applicants; Liraglutide and pancreatic cancer; Representative sampling; Reversals in death-penalty cases; Technology assisted review in e-discovery; Asbestos and colon cancer; Guilty pleas in the federal courts; The “financing secured” event study; and Average marginal effects. 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. 0aSocial sciencesxStatistical methods. 0aLaw.14aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.24aFundamentals of Law.24aLaw.1 aLevin, Bruce.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978107164155208iPrinted edition:z978107164157608iPrinted edition:z9781071641583 0aStatistics for Social and Behavioral Sciences,x2199-7365 ;v18940uhttps://doi.org/10.1007/978-1-0716-4156-9