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Applied Statistical Designs for the Researcher [Hardcover]

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  • Category: Books (Medical)
  • Author:  Paulson, Daryl S.
  • Author:  Paulson, Daryl S.
  • ISBN-10:  0824740858
  • ISBN-10:  0824740858
  • ISBN-13:  9780824740856
  • ISBN-13:  9780824740856
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  708
  • Pages:  708
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  0824740858-11-MPOD
  • SKU:  0824740858-11-MPOD
  • Item ID: 106876557
  • Seller: ShopSpell
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Research and Statistics Basic Review of Parametric Statistics Exploratory Data Analysis Two Sample Tests Completely Randomized One-Factor Analysis of Variance One and Two Restrictions on Randomization Completely Randomized Two-Factor Factorial Designs Two-Factor Factorial Completely Randomized Blocked Designs Useful Small Scale Pilot Designs Nested Statistical Designs Linear Regression Nonparametric Statistics Introduction to Research Synthesis and Meta-Analysis and Conclusory Remarks References Index.Showcasing a discussion of the experimental process and a review of basic statistics, this volume provides methodologies to identify general data distribution, skewness, and outliers. It features a unique classification of the nonparametric analogs of their parametric counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t test, including a comparison of two different groups with different variances; two groups with the same variance; and a matched, paired group. It introduces the analysis of variance and Latin Square designs and presents screening approaches to comparing two factors and their interactions.
Showcasing a discussion of the experimental process and a review of basic statistics, this volume provides methodologies to identify general data distribution, skewness, and outliers. It features a unique classification of the nonparametric analogs of their parametric counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t test, including a comparison of two different groups with different variances; two groups with the same variance; and a matched, paired group. It introduces the analysis of variance and Latin Square designs and presents screening approaches to comparing two factors and their interactions.
USCopyright ? 2003 by Marcel Dekker, Inc.
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