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Experimental Design and the Analysis of Variance [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Leik, Robert K.
  • Author:  Leik, Robert K.
  • ISBN-10:  0803990065
  • ISBN-10:  0803990065
  • ISBN-13:  9780803990067
  • ISBN-13:  9780803990067
  • Publisher:  SAGE Publications, Inc
  • Publisher:  SAGE Publications, Inc
  • Pages:  208
  • Pages:  208
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-1997
  • Pub Date:  01-Jun-1997
  • SKU:  0803990065-11-MPOD
  • SKU:  0803990065-11-MPOD
  • Item ID: 100775732
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book provides clear and comprehensive coverage of the concepts behind ANOVA as well as its technical implementation. It emphasizes facilitating students' intuitive and common sense understanding of the concepts before delving into computation.Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book provides clear and comprehensive coverage of the concepts behind ANOVA as well as its technical implementation. It emphasizes facilitating students' intuitive and common sense understanding of the concepts before delving into computation. This book provides clear and comprehensive coverage of the concepts behind ANOVA as well as its technical implementation. It emphasizes facilitating students' intuitive and common-sense understanding of the concepts before delving into computation, an emphasis that is unique in comparison with many published texts...This will greatly facilitate both teaching and learning in statistics/methodology. The Basics of Experimental Design
An Example and Some Basic Statistical Ideas
One Way Analysis of Variance
Contrasts and Effects:
Comparing Treatments
Analyzing More than One Factor
Repeated Measures Analysis of Variance
From Statistics to Substantive Theory
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