Introduction to Design and Analysis of Experiments [Paperback]

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.

Acknowledgments.

1. Introduction to Experimental Design.

1. The Challenge of planning a good experiment.

2. Three basic principles and four experimental designs.

3. The factor structure of the four experimental designs.

2. Informal Analysis and Checking Assumptions.

1. What analysis of variance does.

2. The six fisher assumptions.

3. Informal analysis, part 1: parallel dot graphs and choosing a scale.

4. Informal analysis, part 2: interaction graph for the log concentrations.

3. Formal Anova: Decomposing the Data and Measuring Variability, Testing Hypothesis and Eslc¶