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This article addresses this deficit.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A Lagrange multiplier goodness\u2010of\u2010fit test is applied to two datasets to address the question of whether or not attainment ages for stages are log\u2010normally distributed. The first dataset used in this article consists of scores of the Todd ten\u2010phase system for the pubic symphysis obtained from 938 individuals with known ages. The second dataset consists of scores for 15 stages of formation for the second mandibular molar scored in 2,304 individuals of known age.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>For the Todd ten\u2010phase system there is a significant departure from log\u2010normally distributed ages of attainment. To obtain an acceptable goodness\u2010of\u2010fit statistic, Todd scores consequently are collapsed into an eight\u2010phase system that maintains scores I through VII as individual scores but combines phases VIII through X into one phase. The 15\u2010stage scoring system for the second mandibular molar has an acceptable fit to the log\u2010normal distribution for ages of attainment.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The results from the analysis of the Todd pubic symphysis scores show that researchers should use goodness\u2010of\u2010fit tests for parametric models before deciding to collapse scores. Further, such goodness\u2010of\u2010fit tests are an essential tool in answering questions concerning the suitability of various parametric models. For the 15\u2010stage scoring of the second mandibular molar, the log\u2010normal model is appropriate for attainment ages. 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