Elementary statistics / William Navidi and Barry Monk.

Includes index.

Basic ideas -- Graphical summaries of data -- Numerical summaries of data -- Summarizing bivariate data -- Probability -- Discrete probability distributions -- The normal distribution -- Confidence intervals -- Hypothesis testing -- Two-sample confidence intervals -- Two-sample hypothesis tests -- Tests with qualitative data -- Inference in linear models -- Analysis of variance -- Nonparametric statistics.

"This book is designed for an introductory course in statistics. The mathematical prerequisite is basic algebra. In addition to presenting the mechanics of the subject, we have endeavored to explain the concepts behind them, in a writing style as straightforward, clear, and engaging as we could make it. As practicing statisticians, we have done everything possible to ensure that the material presented is accurate and correct. We believe that this book will enable instructors to explore statistical concepts in depth yet remain easy for students to read and understand. To achieve this goal, we have incorporated a number of useful pedagogical features: Features Check Your Understanding Exercises: After each concept is explained, one or more exercises are immeditely provided for students to be sure they are following the material. These exercises provide students with confidence that they are ready to go on, or alert them to the need to review the material just covered"-- Provided by publisher.