Noted for its clear and concise, statistically accurate discussions that constantly probe beyond the procedures to teach the reader the reasoning behind a method. The authors discuss the assumptions that all statistical models make, and motivate discussions using real-life examples. By means of good motivation, sound explanations, and an abundance of illustrations given in a real-world context, this book emphasizes more than just a superficial understanding of the material.
A text for students without a strong background in mathematics, covering basic ideas of statistics and their applications in various practical settings. Core material is common to first courses in statistics and is designed to be covered in a one-semester course in introductory statistics for freshmen-seniors. Coverage spans descriptive statistics, ideas of probability and sample-to-sample variation, and statistical methods for analyzing common types of data. There is more complete coverage of regression analysis than in most introductory texts. This fourth edition offers more emphasis on understanding data, new exercises, and new case studies. The authors are affiliated with the University of Wisconsin-Madison. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Organization and Description of Data.
Descriptive Study of Bivariate Data.
The Normal Distribution.
Variation in Repeated Samples-- Sampling Distributions.
Drawing Inferences from Large Samples.
Small-Sample Inferences for Normal Populations.
Comparing Two Treatments.
Regression Analysis-- I (Simple Linear Regression).
Regression Analysis-- II: Multiple Linear Regression and Other Topics.
Analysis of Categorical Data.
Analysis of Variance (ANOVA).
Answers to Selected Odd-Numered Exercises.