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Indentation University Webinar Session 20: Statistical Analysis of Measurements

How different must two measurements be, in order for the difference to be statistically significant? This question is certainly not unique to nanoindentation, but the means for answering must be available to its practitioners. In this session, we review the student’s t-test for assessing significant difference in observation sets and its implications for experimental design.

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