Table of Contents

Concepts and Examples in Analysis of Variance (J. Tukey, et al.). Purposes of Analyzing Data that Come in a Form Inviting Us to Apply Tools from the Analysis of Variance (F. Mosteller & J. Tukey). Preliminary Examination of Data (F. Mosteller & D. Hoaglin). Types of Factors and Their Structural Layouts (J. Singer). Value-Splitting: Taking the Data Apart (C. Schmid). Value-Splitting Involving More Factors (K. Halvorsen). Mean Squares, F Tests, and Estimates of Variance (F. Mosteller, et al.). Graphical Display as an Aid to Analysis (J. Emerson). Components of Variance (C. Brown & F. Mosteller). Which Denominator? (T. Blackwell, et al.). Assessing Changes (J. Tukey, et al.). Qualitative and Quantitative Confidence (J. Tukey & D. Hoaglin). Introduction to Transformation (J. Emerson). Appendix. Index.

About the Author

DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.

FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.

JOHN W. TUKEY, PhD, has received the National Medal of Science as well as several honorary degrees.