Statistics and Data Analysis: An Introduction

An introductory text for nontechnical students that integrates traditional statistical inference with the more modern idea of data analysis. Material begins with simple data sets and proceeds to those with more structure. Examples are plentiful and have been chosen from diverse fields, making the subject accessible to students of any academic field. Contains many pictures, as well as detailed calculations with step-by-step instructions and formulas that indicate in mathematical notation exactly what is being done. At the end of each chapter is a brief summary which reviews the material and explains key terms. Following this are questions which help readers review main new concepts and ideas, and practice problems (many with real data sets). Requires limited background in mathematics.

A straightforward book that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. Divided into three sections, it begins with a description of data in general and groups of numbers in particular. Part two develops concepts of randomness, probability and statistical inference. Lastly, it applies these ideas to more complex data structures and the analysis of relationships. This edition contains more problems, exercises and updated examples. Computer output is systematically included throughout the text.