Includes bibliographical references (p. [243]-247) and index.
Contents
A short history of statistics in the law -- Data types, location, and dispersion -- Probability -- The normal distribution -- Measures of nominal and ordinal association -- Correlation -- Regression and calibration -- Evidence evaluation -- Conditional probability and Bayes' theorem -- Relevance and the formulation of propositions -- Evaluation of evidence in practice -- Evidence evaluation examples -- Errors in interpretation -- DNA I -- DNA II -- Sampling and sample size estimation -- Epilogue.
