Book,

Common Errors in Statistics (and How to Avoid Them)

, and .
Wiley, Hoboken, NJ, (2006)

Abstract

Common Errors is consistently coherent and provides a consistent level throughout. The Second Edition elaborates on a few key topics such as testing hypotheses (two-way designs) and multivariate regression (nonuniqueness and indicator variables). --Publisher.

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