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    It enables you to teach more effectively, understand student misconceptions, structure class discussion, and save time. It is based on extensive patent-pending behavioral research at Harvard University and is used by a growing number of faculty and students at different universities. To get started, register as an instructor to set up your course and adopt this or another title, try out a live demo , or contact us for more information about adopting Perusall in your course. Since its first publication in , Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics.

    The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material.

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    This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. Since its first publication in , Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics.

    The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures.