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English
For Dummies
18 January 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.

By:  
Imprint:   For Dummies
Country of Publication:   United States
Edition:   2nd edition
Dimensions:   Height: 234mm,  Width: 185mm,  Spine: 28mm
Weight:   522g
ISBN:   9781394219926
ISBN 10:   139421992X
Pages:   400
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Introduction 1 Part 1: Getting Started with Business Statistics 5 Chapter 1: The Art and Science of Business Statistics 7 Chapter 2: Pictures Tell the Story: Graphical Representations of Data 21 Chapter 3: Identifying the Center of a Data Set 35 Chapter 4: Measuring Variation in a Data Set 53 Chapter 5: Measuring How Data Sets Are Related to Each Other 71 Part 2: Probability Theory and Probability Distributions 95 Chapter 6: Probability Theory: Measuring the Likelihood of Events 97 Chapter 7: Probability Distributions and Random Variables 115 Chapter 8: The Binomial and Poisson Distributions 127 Chapter 9: The Normal Distribution: So Many Possibilities! 145 Chapter 10: Sampling Techniques and Distributions 165 Part 3: Drawing Conclusions from Samples 185 Chapter 11: Confidence Intervals and the Student’s t-Distribution 187 Chapter 12: Testing Hypotheses about the Population Mean 205 Chapter 13: Applications of the Chi-Square Distribution 245 Chapter 14: Applications of the F-Distribution 273 Part 4: More Advanced Techniques: Regression Analysis and Spreadsheet Modeling 287 Chapter 15: Simple Regression Analysis 289 Chapter 16: Key Statistical Techniques in Excel 317 Part 5: The Part of Tens 343 Chapter 17: Ten Common Errors That Arise in Statistical Analysis 345 Chapter 18: (Almost) Ten Key Categories of Formulas for Business Statistics 353 Index 363

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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