• 5h 25m
• Alan Anderson
• John Wiley & Sons (US)
• 2014

Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons.

Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics.

• Shows you how to use statistical data to get an informed and unbiased picture of the market
• Serves as an excellent supplement to classroom learning

If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.

Alan Anderson, PhD is a teacher of finance, economics, statistics, and math at Fordham and Fairfield universities as well as at Manhattanville and Purchase colleges. Outside of the academic environment he has many years of experience working as an economist, risk manager, and fixed income analyst. Alan received his PhD in economics from Fordham University, and an M.S. in financial engineering from Polytechnic University.

## In this Book

• Introduction
• The Art and Science of Business Statistics
• Pictures Tell the Story: Graphical Representations of Data
• Finding a Happy Medium: Identifying the Center of a Data Set
• Searching High and Low: Measuring Variation in a Data Set
• Measuring How Data Sets are Related to Each Other
• Probability Theory: Measuring the Likelihood of Events
• Probability Distributions and Random Variables
• The Binomial, Geometric, and Poisson Distributions
• The Uniform and Normal Distributions: So Many Possibilities!
• Sampling Techniques and Distributions
• Confidence Intervals and the Student's t-Distribution
• Testing Hypotheses about the Population Mean
• Testing Hypotheses about Multiple Population Means
• Testing Hypotheses about the Population Mean
• Simple Regression Analysis
• Multiple Regression Analysis: Two or More Independent Variables
• Forecasting Techniques: Looking into the Future
• Ten Common Errors That Arise in Statistical Analysis
• Ten Key Categories of Formulas for Business Statistics