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Part I outlined a methodology for assessing the reliability of three areas: estimation, random number generation, and calculation of statistical distributions. The present article applies this methodology to SAS, SPSS, and S-Plus, with attention to implementation details. Weaknesses are identified in all the random number generators, the S-Plus correlation procedure, and in the one-way ANOVA and nonlinear least squares routines of SAS and SPSS.
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