Practical Stats Announces Free Webinar on Testing Groups of Data with Multiple Detection Limits

Differences between groups of data is familiar to scientists — ANOVA for means and Kruskal-Wallis for cdfs (percentiles). If differences occur, multiple comparison methods determine which groups differ from others. Tests with the same objectives exist that are designed for censored data, data subject to (one or multiple) detection limits. In this webinar you will learn how these tests work and how you can compute them.

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