Business Statistics for Dummies - Paperback

by Alan Anderson (Author)

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 statistics
• Learn tricky concepts with simplified explanations and illustrative graphs
• See how statistics applies in the real world, thanks to concrete examples
• Read charts and graphs for a better understanding of how businesses operate

Business 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.

Back Jacket

Become conversant in business data

People who use statistics to analyze data are the masters of the business world. Business Statistics For Dummies walks you through the essential concepts and techniques. This guide uncomplicates statistics with clear explanations and examples. The content tracks to a typical business statistics course at the undergraduate or graduate level, bringing you one step closer to your degree. Probability, hypothesis testing, regression analysis--it's all in here. Gain control over business data, the easy way.

Inside...

• Why statistics is important
• Graphing and charting data
• Probability distributions
• Confidence intervals
• Basic regression analysis
• Modeling in Microsoft^(R) Excel^(R)
• Common mistakes to avoid

Author Biography

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.