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This book is intended to be primarily a supplemental text that can be used to integrate the use of computer packages into introductory business statistics and quantitative methods courses, demonstrating how computer packages can be used to solve statistical and operational research problems.
The focus of Linear Statistical Models: An Applied Approach, Second Editon, is on the conceptual, concrete, and applied aspects of model building, data analysis, and interpretaion. Without sacrificing depth and breadth of coverage, Bruce L. Bowerman and Richard T. O'Connell's clear and concise explanantions make the material accessible even to those with limited statistical experience.
Accompanying CD-ROM contains datasets in the floowing formats: ASCII, EXCEL, SAS, JMP, MINITAB, STATA, S-PLUS, EVIEWS.
Experts examine the mechanisms by which cells polarize, divide asymmetrically, and produce asymmetric structures, providing examples from bacteria, yeast, plants, invertebrates, and mammals. Discussion include the molecular basis of polarization, mechanisms, and more.
The Third Edition of FORECASTING AND TIME SERIES illustrates the importance of forecasting and the various statistical techniques that can be used to produce forecasts. Bruce L. Bowerman and Richard T. O'Connell clearly demonstrate the necessity of using forecasts to make intelligent decisions in marketing, finance, personnel management, production scheduling, process control, and strategic management.
This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience. Two procedures are generally used to analyze experimental design data—analysis of variance (ANOVA) and regression analysis. Because ANOVA is more intuitive, this book devotes most of its first three chapters to showing how to use ANOVA to analyze balanced (equal sample size) experimental design data. The text first discusses regression analysis at the end of Chapter 2, where regression is used to analyze data that cannot be analyzed by ANOVA: unbalanced (unequal sample size) data from two-way factorials and data from incomplete block designs. Regression is then used again in Chapter 4 to analyze data resulting from two-level fractional factorial and block confounding experiments.
Cell division is a central biological process: it yields the cells required for development and growth, and supplies the replacement cells to repair and maintain old or damaged tissue. This book gives the students a complete overview of the process of cell division - from chromosome division, through mitosis, cytokinesis, and meiosis.
Recent advances in our understanding of the human brain suggest that adolescence is a unique period of development during which both environmental and genetic influences can leave a lasting impression. To advance the goal of integrating brain and prevention science, two areas of research which do not usually communicate with one another, the Annenberg Public Policy Center's Adolescent Risk Communication Institute held a conference with the purpose of producing an integrated volume on this interdisciplinary area. Presenters/chapter contributors were asked to address two questions: What neurodevelopmental processes in children and adolescents could be altered so that mental disorders might be ...
Business Statistics and Analytics in Practice 9e covers standard business statistics and business analytics topics, with a continuous case running throughout chapters, allowing students to use data for a more applied and practical approach to the subject. Topics are clearly organised, giving instructors the choice of whether or not to cover business analytics areas. Featuring Connect, SmartBook, Guided Examples, Algorithmic Problems and a business statistics, maths and Excel prep component, Bowerman is a perfect fit for the instructor who wants a business stats text with business analytics focus.