根据铅和铜规则评估腐蚀处理方案的决策者需要统计工具从管道回路研究中选择最佳处理方案。在许多情况下，管道回路研究产生的数据不遵循正态分布；因此，非参数统计适用。讨论的技术包括使用Kolmogorov-Smirnov和卡方检验确定数据正态性，使用Spearman系数确定稳定性，以及使用Wilcoxon符号秩或秩和检验比较处理。对评估腐蚀研究非常重要的其他数据问题包括确定样本大小和频率、确定结果的置信度和准确性，以及评估数据异常值。 包括11个参考文献、表格、图表。

Decision-makers evaluating corrosion treatment alternatives under the Lead and Copper Rule need the statistical tools to chose the optimum treatment from pipe loop studies. In many cases, the data generated by pipe loop studies do not follow a normal distribution; therefore, nonparametric statistics apply. Techniques that are discussed include determination of data normality using the Kolmogorov-Smirnov and chi-square tests, determination of stabilization using the Spearman coefficient, and comparison of treatments using the Wilcoxon signed ranks or rank sum test. Other data issues that are important to evaluating corrosion studies include determining sample size and frequency, determining the confidence and accuracy of results, and evaluating data outliers. Includes 11 references, tables, figures.