Improving statistical reasoning : theoretical models and practical implications / Peter Sedlmeier.

Format:

Book

Author/Creator:

Sedlmeier, Peter.

Language:

English

Subjects (All):

Mathematical statistics.

Statistics.

Physical Description:

1 online resource (249 p.)

Place of Publication:

Mahwah, N.J. : Lawrence Erlbaum Associates, 1999.

Language Note:

English

Summary:

This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology a

Contents:

Book Cover; Title; Copyright; Contents; Preface; 1 Statistical Reasoning: How Good Are We?; 2 Are People Condemned to Remain Poor Probabilists?; 3 Prior Training Studies; 4 What Makes Statistical Training Effective?; 5 Conjunctive-Probability Training; 6 Conditional-Probability Training; 7 Bayesian-lnference Training I; 8 Bayesian-lnference Training II; 9 Sample-Size Training I; 10 A Flexible Urn Model; 11 Sample-Size Training II; 12 Implications of Training Results; 13 Associationist Models of Statistical Reasoning: Architectures and Constraints; 14 The PASS Model

15 Statistical Reasoning: A New PerspectiveAppendix A Variations of Bayesian Inference; Appendix B The Law of Large Numbers and Sample-Size Tasks; Appendix C Is There a Future for Null-Hypothesis Testing in Psychology?; References; Author Index; Subject Index;

Notes:

Description based upon print version of record.

Includes bibliographical references (p. 216-229) and indexes.

ISBN:

1-135-70576-3

9786612323065

1-4106-0124-2

1-282-32306-7

0-585-11515-X

9781410601247

OCLC:

476266804