Chance Encounters: A First Course in Data Analysis and Inference
November 1999, ©2000
Text combines lucid and statistically engaging exposition, graphic and poignantly applied examples, realistic exercise settings to take student past the mechanics of introductory-level statistical techniques into the realm of practical data analysis and inference-based problem solving.
Tools for Exploring Univariate Data.
Exploratory Tools for Relationships.
Probabilities and Proportions.
Discrete Random Variables.
Continuous Random Variables.
Sampling Distributions of Estimates.
Significance Testing: Using Data to Test Hypotheses.
Data on a Continuous Variable.
Tables of Counts.
Relationships between Quantitative Variables: Regression and Correlation.
Answers to Selected Problems.
George A. F. Seber, University of Auckland
- The text is data-oriented, demonstrates the "exploratory" and "confirmatory" approach to modern exploratory technique applications.
- The text is intuitive, expects students to learn the principles of data analysis, probability and inference from working with motivating data sets, realistic and problem-solving oriented exposition and examples, challenging and applied exercises and cases throughout the chapters.
- The text is computer-oriented, assumes computers are part of the support apparatus for the introductory course with either available department labs or personal equipment, that, however, many different computational/graphic packages are typical of the teaching and learning terrain in statistics and other departments at colleges and universities around the world.
- The text is tools and assumption management and outcome interpretation-motivated in its chapter-by-chapter pedagogy. It wants the learning objectives for the introductory course to include students acquiring an intuitive sense of the uses and limits of sample-based data analysis, probability and inference.