This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.
This text employs the very latest ideas in teaching business statistics and uses the ''Making Statistics More Effective in Schools of Business'' philosophy. The text makes business statistics more relevant to business and industry practice and provides an increased emphasis on modern statistical methods and a decreased emphasis on classical descriptive measures and probability. The text presents a problem-solving approach to the analysis of real data sets and procedures for data collection and design. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.
This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.
Statistics review on CD-ROM with accompanying print workbook. Customizable reviewing and self testing. Features animations, diagrams, videos, and more than 400 review problems.
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