Systematic errors are often unavoidable in the introductory physics laboratory. As has been demonstrated in many papers in this journal, such errors can present a fundamental problem for data analysis, particularly when comparing the data to a given model. In this paper I give three examples in which my students use popular curve-fitting software…

This article describes a simple computer program which graphically demonstrates both Type I and Type II statistical errors.

Investigates minimizing errors in computational methods commonly used in chemistry. Provides a series of examples illustrating the propagation of errors, finite difference methods, and nonlinear regression analysis. Includes illustrations to explain these concepts. (MVL)

Describes eight uses of the microcomputer in the chemistry classroom. Includes games, simulations, and graphics programs most of which are available from Project SERAPHIM. (MVL)