<p>The book is intended as an introduction to probability theory and statistical inference for readers in applied disciplines, such as business and economics,engineering, and the physical and life sciences.</p>

Applied probability and statistical methods

Science & Math

Canavos, George C.

Mathematics

Little. Brown and Company

By emphasizing statistical - and managerial - thinking in this book, the authors show how to evaluate the source and quality of their data, as well as what they hope to extract from it. It presents statistical concepts and techniques as a body of knowledge, rather than merely a collection of tools. As they stress statistical thinking the authors aim to teach students to approach statistics as statisticians do. Concepts evolve naturally from previous material, helping students retain and relate to the information. The authors integrate the theme of Statistical Quality Control or Statistical Process Control throughout the entire text. Using this approach, Canavos and Miller aim to teach students to think critically about statistics, and its application to business decision making, as well as how to measure and improve quality and efficiency, and how to be more competitive in the marketplace.

An Introduction to Modern Business Statistics

Business & Money

Miller, Don M.

Education & Reference

Wadsworth Pub. Co.

<p>Using the computer to eliminate rote computation and facilitate learning, this book inspires and motivates readers to learn statistics by showing them its great practical importance to their careers. In every chapter, the authors include an ample number of examples and vignettes that illustrate and emphasize skills that enable students to interpret data effectively and to convert data into usable information. This approach enhances students' abilities to make better decisions, thus preparing them to exert greater influence in their future careers. To reinforce the idea that statistics is the linkage that transforms data into useful information, thereby enhancing planning and decision making, almost every numbered example includes introductory language that articulates the importance of the illustration in a functional area of business. The authors use Microsoft Excel, MINITAB, and JMP IN statistical software to execute statistical methods--presenting computer outputs and interpretation first; then illustrating the method using statistical tables. In addition, to promote the learning of fundamentals, the authors also take the users through many methods step-by-step, using examples with very small data sets. Chapter appendices provide clear, detailed instructions on the use of Excel, MINITAB, and JMP IN. Users are not just purchasing a textbook--every new copy of the book is packaged with a student software and data disk. This disk contains Data Analysis Plus Add-ins for Microsoft Excel, as well as all the data sets used in the book formatted for Excel, MINITAB, JMP IN, and ASCII. In addition to the many examples and exercises they included in the First Edition, the authors add approximately 120 exercises based on published articles in academic journals, the popular media, or widely available sources of data. Many of these exercises contain large data sets, and many are revisited is subsequent chapters.</p>

An Introduction to Modern Business Statistics (with CD-ROM)

South-Western College Pub.

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