Assessing Statistical Results: Magnitude, Precision, and Model Uncertainty.

Evaluating the importance and the strength of empirical evidence requires asking three questions: First, what are the practical implications of the findings? Second, how precise are the estimates? Confidence intervals provide an intuitive way to communicate precision. Although nontechnical audiences...

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Bibliographic Details

Published in:	American Statistician Vol. 73; pp. 118 - 122
Main Author:	Anderson, Andrew A.
Format:	Article
Published:	Taylor & Francis Ltd Mar2019 Supplement
Subjects:	Quantitative research Statistical models Statistical reliability Measurement uncertainty (Statistics) Sampling errors
Online Access:	View this record in EBSCOhost