Discusses the need of statistical training for engineering undergraduate students. Describes the six reasons to teach statistics. The methods for statistical quality control are presented. Twenty-three references are listed. (YP)

Contrasted are engineering statistics with statistics for students of mathematics and social science. Topics considered are level of abstraction, amount of technical detail, and choice of subject. The nature of exercises suitable for various courses is described. (KR)

Summarizes a simple design algorithm which identifies nested loops of equations which must be solved by trial-and-error methods. The algorithm is designed to minimize such loops, provides guidance to the selection of variables, and delineates the order in which systems of equations are to be solved. Examples are included. (TW)

Discussed are problems encountered when a gas absorption experiment with strong measurement error is used. Notes students either avoid the experiment or report it as defective. Provides ideas to make lab experiments more instructive. (MVL)

Discusses the use of computers in teaching these courses at the Eindhoven University of Technology: (1) regression analysis; (2) generalized linear models; and (3) multivariate statistical methods. Students also use the computer for their final studies for validating statistical tests. (JN)