Effective management decision making requires operating experience with quantitative information and analysis. This text offers experience in dealing with real data and opportunities to see how data analysis and inference can affect business decisions. "Statistics in Context" sections in each chapter present a set of real data and a complete case description. Examples, exercises and cases reinforce the assumption that statistical thinking is an important part of competitively-driven decision making. They depict the firm as a system susceptible to analysis for understanding and improving its processes through the use of statistics. The book is organized into six areas: data description and summary; data collection; foundations for inference (probability rules and distributions); inferences about means and proportions; linear models; and statistics and management.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book helps readers understand the reasoning by which findings from sample data can be extended to general conclusions to solve business problems. It discusses statistical methods and includes an explanation of their underlying assumptions and the dangers of ignoring them. It emphasizes the use of computers for calculations and provides numerous data sets and computer outputs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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