Business Statistics For Dummies, 2nd Edition
- 5h 14m
- Alan Anderson
- John Wiley & Sons (US)
- 2024
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.
About the Author
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.
In this Book
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The Art and Science of Business Statistics
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Pictures Tell the Story—Graphical Representations of Data
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Identifying the Center of a Data Set
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Measuring Variation in a Data Set
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Measuring How Data Sets Are Related to Each Other
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Probability Theory—Measuring the Likelihood of Events
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Probability Distributions and Random Variables
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The Binomial and Poisson Distributions
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The Normal Distribution—So Many Possibilities!
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Sampling Techniques and Distributions
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Confidence Intervals and the Student’s t-Distribution
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Testing Hypotheses about the Population Mean
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Applications of the Chi-Square Distribution
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Applications of the F-Distribution
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Simple Regression Analysis
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Key Statistical Techniques in Excel
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Ten Common Errors That Arise in Statistical Analysis
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(Almost) Ten Key Categories of Formulas for Business Statistics
