either too technical or too general, Dr. Carvounis s text gives students and practitioners specific answers about the statistical analysis needed for a specific clinical or basic research project or the appropriate selection of statistical analysis in a technical paper. His book clearly explains with examples data distribution and probabilities, the basics of inferential statistics, comparison of groups with outcome in continuous data, correlation of continuous data and linear regression, ordinal and nominal data, and how to study and read the literature. The text concludes with a self-assessment question-and-answer section, a specially valuable set of appendices showing how to evaluate significance with different statistical techniques, and a thorough index.

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