A practical dive into the coefficient of variation (CV): what it is, why it matters, and how to read it correctly. From investing risk to lab precision and archaeology, we unpack when CV is helpful, its limitations (especially near-zero means and unit issues), and alternatives like the quartile coefficient of dispersion.

Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.

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