The author presents guidelines for the selection of statistical analysis software given to graduate students to work independently. Criteria for a good teaching program are delineated. Several software programs are evaluated: STATMASTER, Statistics and Probability, Monte Carlo Simulations, Survey Sampling, KEYSTAT, CAPSAS: Computer Assisted Program for the Selection of Appropriate Statistics, EDA: Exploratory Data Analysis, INTROSTAT, Statistics With Finesse, STATPAC, GANOVA: Generalized Analysis of Variance, Speedstat, Micro-DSS/Analysis, and Micro-TSP. Several statistics packages are briefly reviewed, including STATPRO, A-STAT, Computer Models for Management Science, Multiple Factor Analysis, a General Correlation Program, and Test Construction Package. An appendix lists criteria for evaluating software. Demonstration pages prepared with a TEXPRINT printer interface card in the APPLE II+ computer are included. (DWH)
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