Applied statistics : analysis of variance and regression

Bibliographic Information

Applied statistics : analysis of variance and regression

Olive Jean Dunn, Virginia A. Clark

(Wiley series in probability and mathematical statistics, . Applied probability and statistics)

Wiley, c1987

2nd ed

Available at  / 49 libraries

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Note

Includes bibliographies and index

Description and Table of Contents

Description

This self-contained, comprehensive treatment of variance and regression analysis, is suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer programs to perform the analysis, and a new chapter on repeated measures designs.

Table of Contents

  • Descriptive Statistics
  • Statistical Inference: Populations and Samples
  • Inference from a Single Sample
  • Samples from Two Populations
  • One-Way Analysis of Variance: Fixed Effects Model
  • Hierarchical or Nested Design
  • Two-Way Analysis of Variance: Fixed Effects Model
  • Three-Way Analysis of Variance: Fixed Effects Model
  • Factorial Designs with Each Factor at Two Levels
  • Variable Effects Models
  • Repeated Measure Designs
  • Linear Regression and Correlation
  • Multiple Regression: The Fixed X Model
  • Multiple Regression and Correlation Analysis
  • Analysis of Covariance
  • Data Screening
  • Appendix
  • Index.

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