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Alan Anderson - Business Statistics For Dummies, Häftad

Häftad, Engelska, 2024

Business Statistics For Dummies

Av Alan Anderson

299 kr

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Beskrivning
Make some headway in the notoriously tough subject of business statistics Business Statistics For Dummies helps you understand the core concepts and principles of business statistics, and how they relate to the business world. This book tracks to a typical introductory course offered at the undergraduate, so you know you’ll find all the content you need to pass your class and get your degree. You’ll get an introduction to statistical problems and processes common to the world of global business and economics. Written in clear and simple language, Business Statistics For Dummies gives you an introduction to probability, sampling techniques and distributions, and drawing conclusions from data. You’ll also discover how to use charts and graphs to visualize the most important properties of a data set. Grasp the core concepts, principles, and methods of business statisticsLearn tricky concepts with simplified explanations and illustrative graphsSee how statistics applies in the real world, thanks to concrete examplesRead charts and graphs for a better understanding of how businesses operateBusiness Statistics For Dummies is a lifesaver for students studying business at the college level. This guide is also useful for business professionals looking for a desk reference on this complicated topic.
Produktinformation
  • Utgivningsdatum: 2024-01-04
  • Mått: 185 x 234 x 28 mm
  • Vikt: 522 g
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 400
  • Upplaga: 2
  • Förlag: John Wiley & Sons Inc
  • ISBN: 9781394219926
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Mer information

Alan Anderson, PhD, FRM, is a lecturer in the department of Economics at Fordham University. He is also Adjunct Professor of Finance at NYU, Adjunct Professor of Economics and Mathematics at Purchase College, SUNY, and Adjunct Professor of Finance at Manhattanville College. He has also worked at corporate institutions such as TIAA-CREF and Reuters in quantitative risk and analyzing credit spreads.

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