Book Reviews

Statistics for Engineering Problem Solving.: Stephen B. Vardeman. Boston, MA: PWS Publishing, 1994. 840 pp. $59.95. Reviewed by Soren Bisgaard

A Data-Based Approach to Statistics.: Ronald L. Iman. Belmont, CA: Wadsworth Publishing, 1994. xiv + 898 pp. $51.95. Reviewed by Katherine Halvorsen

Concepts in Probability and Stochastic Modeling.: James J. Higgins and Sallie Keller-McNulty. Belmont, CA: Duxbury Press, 1995. xi + 420 pp. $67.43. Reviewed by David M. Nickerson

Statistics (6th ed.).: James T. McClave and Frank H. Dietrich II. New York: Dellen/Macmillan College Publishing, 1994. xix + 967 pp. $66.00. Reviewed by Katherine Halvorsen

Data Analysis for Monitoring Human Rights.: Herbert Spirer and Louise Spirer. Washington, DC: American Association for the Advancement of Science, 1994. xiv + 126 pp. $15.00. Reviewed by Diane G. Saphire     

Comments on Willis,Wells and Picou

Most research relating objective indicators of the quality of environment to subjective indicators of the quality of life has failed to find a relationship between the two. This research, by using community data, establishes an association between the local environment and perceived life quality, and in doing so, provides empirical support for focusing on local as welt as national investigations of life quality.     

Accent on Teaching Materials

Review of International Association for Statistical Education Proceedings: Proceedings of the First Scientific Meeting of the International Association for Statistical Education, Lina Brunelli and Guiseppe Cicchitelli, Editors. U.S. $5 (cost of postage) from International Statistical Institute, 428 Prinses Beatrixlann, 2270 AZ Voorburg, The Netherlands. Includes 49 papers presented in Perugia, Italy, in August 1993; 476 pages. Reviewed by Peter Holmes     

Accent on Teaching Materials

A linear combination test for combining several tests of the correlation coefficient in the bivariate normal distribution is proposed. The linear combination test is compared with the well-known Fisher method of combining tests. It is shown by a Monte Carlo study that the linear combination test has a larger power.