Good Applying Statistics in the Courtroom

A New Approach for Attorneys and Expert Witnesses
1. Auflage 2001
ISBN: 978-1-4200-3540-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 296 Seiten

This publication is directed at both attorneys and statisticians to ensure they will work together successfully on the application of statistics in the law. Attorneys will learn how best to utilize the statistician's talents, while gaining an enriched understanding of the law relevant to audits, jury selection, discrimination, environmental hazards, evidence, and torts as it relates to statistical issues. Statisticians will learn that the law is what judges say it is and to frame their arguments accordingly. This book will increase the effectiveness of both parties in presenting and attacking statistical arguments in the courtroom. Topics covered include sample and survey methods, probability, testing hypotheses, and multiple regression.

Zielgruppe

Attorneys; statisticians; students of law and statistics; expert witnesses

Autoren/Hrsg.

Good, Philip

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Preface
Interpreting Case Citations
PART I: SAMPLES AND POPULATIONS
Samples and Populations
Audits
Determining the Appropriate Population
Representative Samples and Jury Selection
Concepts
Issues
Composition of the Jury Pool
Random Selection
To Learn More
Sample and Survey Methodology
Concepts
Sampling Methodology
Increasing Sample Reliability
Missing Data and Nonresponders
Presenting Your Case
Concepts
The Center or Average
Measures of Precision
Changes in Rates
PART II: PROBABILITY
Probability Concepts
Equally-Likely, Equally Probable, Equally Frequent
Mutually-Exclusive Events
Conditional Probabilities
Independence
Bayes Theorem
To Learn More
Criminal Law
Facts not Probabilities
Observation vs Guesstimates
Probable Cause
Sentencing
To Learn More
Civil Law
The Civil Paradigm
Holdings
Speculative Gains and Losses
To Learn More
Environmental Hazards
Concepts
Is the Evidence Admissible?
Is the Evidence Sufficient?
Risk v. Probability
Use of Models
Observations v. Experiments
Multiple Defendants
PART III: HYPOTHESIS TESTING AND ESTIMATION
How Large is Large?
Discrimination
80% Rule
No Sample Too Small
Methods of Analysis
Comparing Two Samples
The Underlying Population
Distribution Theory
Contingency Tables
To Learn More
Correlation
Correlation
Bias
Testing
Linear Regression
Sidebar: Limitations of Regression
Multivariate Regression
Lost Earnings
Multiple Applications
Collinearity and Partial Correlation
Defenses
Rebuttal Decisions
Alternate Forms of Regression Analysis
When Statistics Don't Count
Counter-Attack
PART IV: APPLYING STATISTICS IN THE COURTROOM
Preventative Statistics
Concepts
Appropriate Controls
Power of a Test
Coincidence
Recognizing Bad Statistics
The Trial Process-For the Statistician
Selecting the Case
Pre-Filing
Discovery
Depositions
Post-Deposition, Pre-Trial
In the Courtroom
Appeals
Making Effective Use of Statistics and Statisticians-For the Attorney
Selecting the Statistician
Pre-Filing Preparation
Discovery
Presentation of Evidence
Appeals
TABLE OF AUTHORITIES
BIBLIOGRAPHY
INDEX