Discusses Newton's idea of predicting very high temperatures of objects by observing the time needed for the object to cool to some standard reference temperature. This article discusses experimental deviations from this idea and provides explanations for the observed results. (MVL)

Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…

Illustrates some applications of elementary probability and statistics to epidemiology, the branch of medical science that attempts to discover associations between events, patterns, and the cause of disease in human populations. Uses real-life examples involving cancer's link to smoking and the AIDS virus. (MDH)

This critique discusses conceptual and practical issues raised in a paper by D. Marston (EC 210 837) on choosing the most technically adequate graph for measuring progress on individual education plans. The critique argues that the Standard Behavior Chart is a technically adequate and useful measurement tool. (JDD)

This article responds to a criticism (EC 231 964) of a paper that discusses graphs for measuring progress on individual education plans (EC 210 837). It notes that the type of chart used is not a major issue; the important point is that teachers repeatedly gather data on educationally relevant tasks and evaluate intervention effectiveness. (JDD)

Science is an "approach in process development." Native American students have well-developed processes which can be best utilized by teaching science using activities which capitalize on students' processes. This article discusses processes first, then applies the content in a cultural framework to enhance science for Native American…

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)