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Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.
The First Edition of this useful book was popular for its integration of multiple regression with evaluation design and for offering systematic ways to select the proper goals for single- and multiple-outcome evaluations. This revised edition covers new issues and to clarify further the concepts used in impact analysis.
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