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An applied introduction to statistics for students with no background in the subject. The author places a strong emphasis on choosing sound design structures prior to a formal discussion of ANOVA, and then goes on to explore real data sets using a variety of graphs and numerical methods, before testing the assumptions behind standard ANOVA texts. Throughout the book, the author emphasises the contextual understanding and interpretation of data analysis rather than stressing formal deductive, mathematical reasoning, while the more difficult algebraic discussions are contained in optional sections.
List of contents
Introduction to Experimental Design; Informal Analysis and Checking Assumptions; Formal ANOVA Decomposing the Data and Measuring Variability, Testing Hypotheses and Estimating True Differences; Decisions About the Content of an Experiment; Randomization and the Basic Factorial Design; Interaction and the Principle of Factorial Crossing; The Principle of Blocking; Working with the Four Basic Designs; Extending the Basic Designs by Factorial Crossing; Decomposing a Data Set; Comparisons, Contracts, and Confidence Intervals; The Fisher Assumptions and How to Check Them; Other Experimental Designs and Models; Continuous Carriers: A Visual Approach to Regression, Correlation and Analysis of Covariance; Sampling Distributions and the Role of the Assumptions; Supplementary Examples: Chapters 4,5,6,7,8,9
