A survey-database approach to applied business statistics, with innovative features including the use of computer output to assist in decision making and numerous problems. Emphasis is placed on understanding and integration rather than number crunching. This fifth edition uses an actual real estate survey which includes coverage of two new communities that link topics explored in the text, simplifying the study of descriptive statistics, probability, statistical inference and regression analysis. Database exercises accompany the real estate survey and are clearly marked with a disk icon. The text illustrates and explains the output from the statistical packages Minitab, SAS, SPSS and MYSTAT; expands the quality management chapter to cover quality control and product design; and introduces meta-analysis and its advantages and disadvantages.
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For a one- or two-semester undergraduate course in business statistics.
This comprehensive 18 chapter text focuses on the underlying statistical concepts that are important to students majoring in business. The authors take an applied approach and relate the concepts and applications of statistics to the functional areas of business―accounting, marketing, management, and economics and finance. This text also emphasizes the proper use of statistics to analyze data and assumes that computer software is an integral part of this analysis. The 8th edition has been thoroughly revised to improve the applications and better motivate the statistical topics. Both Excel and Minitab software are featured.
For a one- or two-term course in Business Statistics at the undergraduate or graduate level.
This comprehensive 19-chapter business statistics text provides sufficient breadth of coverage and an applied approach which focuses on concepts and applications of statistics to the functional areas of business—accounting, marketing, management, and economics and finance. Thoroughly revised to shift its emphasis more on concepts than statistical methods, it shows students how to properly use statistics to analyze data, demonstrates how computer software is an integral part of this analysis, and provides myriad cases and projects support the learning process.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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