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Introduction to Design and Analysis of Experiments

Introduction to Design and Analysis of Experiments

George W. Cobb

ISBN: 978-0-470-41216-9

Jun 2008

832 pages

Select type: Paperback

In Stock



Introduction to Design and Analysis of Experiments explains how to choose sound and suitable design structures and engages students in understanding the interpretive and constructive natures of data analysis and experimental design.  Cobb's approach allows students to build a deep understanding of statistical concepts over time as they analyze and design experiments. The field of statistics is presented as a matrix, rather than a hierarchy, of related concepts.  Developed over years of classroom use, this text can be used as an introduction to statistics emphasizing experimental design or as an elementary graduate survey course. 

Widely praised for its exceptional range of intelligent and creative exercises, and for its large number of examples and data sets, Introduction to Design and Analysis of Experiments--now offered in a convenient paperback format--helps students increase their understanding of the material as they come to see the connections between diverse statistical concepts that arise from the experiments around which the text is built.

To the Instructor
Sample Exam Questions
To the Student

1.Introduction To Experimental Design     1 2. Informal Analysis and Checking Assumptions                 38
3. Formal Anova: Decomposing the data and measuring variability, Testing Hypothesis and estimating true differences           61
4.  Decisions about the Content of an Experiment  108
5.  Randomization and the Basic Factorial Design  148
6.  Interaction and the Principle of Factorial Crossing  199
7.  The Principle of Blocking  243
8.  Working with the Four Basic Designs  310
9.  Extending the Basic Designs by Factorial Crossing  370
10.  Decomposing a Data Set  414
11.  Comparisons, Contrasts, and Confidence Intervals  436
12.  The Fisher Assumptions and How to Check Them  482
13.  Other Experimental Designs and Models  535
14.  Continuous Carriers: A Visual Approach to Regression, Correlation and Analysis of Covariance  614
15.  Sampling Distributions and the Role of the Assumptions  690

Tables  774
Data Sources  782
Subject Index  786
Examples  796

  • Concrete visual representation of the factor structure of a design is used instead of heavily subscripted equations, making the text accessible to students who do not have strong algebraic skills
  • Examples and context are used to show how statistical methods are used in meaningful ways
  • Sections contain multiple kinds of exercises: quick answer, mechanical drill, and exercises that require thinking about the material from a different angle
  • Each section includes exercises suitable for essay questions, class discussion, or group work
  • Small set of basic ideas are introduced so that students can develop a flexible ability to apply a few broad principles to construct designs
  • Clear, direct writing style allows students who have not seen the material before to practice active learning