Nabavi, Majid, <br/><br/>
Introduction to business analytics / 
Majid Nabavi and David L. Olson. 
 - First edition. 
 - 1 online resource (169 pages) :  illustrations. 
 - Big data and business analytics collection,  2333-6757 .
 - Big data and business analytics collection. .
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<br/><br/>1. Business analytics --  2. Visualization --  3. Sampling --  4. Hypothesis testing --  5. Linear regression --  6. Multiple regression --  7. Logistic regression --  8. Linear programming --  9. Business analytic modeling tools --  References --  About the author-- Index. 
<br/><br/> Access restricted to authorized users and institutions. 
<br/><br/> This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. 
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<br/><br/><br/>Mode of access: World Wide Web. <br/>System requirements: Adobe Acrobat reader. 
<br/><br/><label>ISBN: </label>9781949443288 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Management--Statistical methods.<br/>Decision making--Statistical methods.
<br/><br/><label>Subjects--Index Terms: </label>business analytics forecasting hypothesis testing knowledge management regression statistical sampling 
<br/><br/><label>Index Terms--Genre/Form: </label><br/>[genre]
<br/><br/><label>LC Class. No.: </label>HD30.215