Anderson, David R. Primary Author Sweeney, Dennis J. Primary Author Williams, Thomas A. Primary Author mixed material bibliography Stamford Cengage Learning 2015 en English

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xxix, 1026 p. : Illust. ; 27 cm Use MODERN BUSINESS STATISTICS, 5E to gain a strong conceptual understanding of statistics with a balance of real-world applications and a focus on the integrated strengths of Microsoft Excel 2013. To ensure your understanding, this best-selling, comprehensive text carefully discusses and clearly develops each statistical technique in a solid application setting. Immediately after each easy-to-follow presentation of a statistical procedure, a subsection discusses how to use Excel to perform the procedure. This integrated approach emphasizes the applications of Excel while focusing on the statistical methodology. Step-by-step instructions and screen captures further clarify the presentation to ensure your understanding. A wealth of timely business examples, proven methods, and application exercises clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. The book's class-tested problem-scenario approach emphasizes how you can apply statistical methods to today's practical business situations. New case problems and self-tests throughout this edition allow you to check your personal understanding. Additional learning resources, including CengageNOW for online homework assistance and a complete support website, provide everything you need to acquire Excel 2013 skills and an understanding of business statistics. Microsoft Excel (Computer File) Commercial Statistics Commercial statistics--Computer programs 519.5 9781285433301 e-Library Universitas Pertamina Be Global Leader 519.5 AND m 3829/PUP/2017 Perpustakaan Universitas Pertamina 519.5 AND m c.1 Modern_Business_Statistics_with_Microsoft%25C2%25AE_Office_Excel%25C2%25AE.jpg.jpg 2308 2018-07-26 18:37:47 2018-07-28 19:39:26 machine generated Computer Science Mechanical Engineering Logistics Engineering Management