This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice.
"synopsis" may belong to another edition of this title.
This text presents a hands-on problem-solving approach to the analysis of real data sets and procedures for data collection and design. Concrete examples of specific techniques and computer use provide a practical framework for business statistics in practice. Significant changes in this edition include: the addition of chapter objectives, key terms and interim summaries; two new chapters on the design of experiments and analysis of variance; the reordering of topics to increase the book's flexibility for a variety of course needs; real data based exercises; and a new electronic instructor/author on-line help interface for users of the text. This bulletin board allows adopters and potential adopters to share thoughts and ideas about the course and text, or to question the authors about the text. This requires access to the Bitnet or Internet e-mail systems. New software supplements provide step-by-step instructions for students using the popular software packages MINITAB, Execustat and Excel.
"About this title" may belong to another edition of this title.
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Hardback. Condition: Good. This text employs the latest ideas in teaching business statistics and follows the philosophy espoused at the conference "Making Statistics More Effective in Schools of Business" (MSMESB). It emphasizes modern statistical methods and data analysis with a decreased emphasis on classical hypothesis testing and probability. It presents a problem-solving approach to the analysis of real data sets and procedures for data collection, design, and interpretation. It covers statistics in the context of the scientific method for problem recognition, problem formulation, and problem solving. Concrete examples of statistical techniques and computer use give students a practical framework of business statistics in practice. Seller Inventory # CIN0534203884G
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