Business Statistics for Competitive Advantage with Excel 2007: Basics, Model Building and Cases
Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. Statistics are created to make better decisions. Statistics are essential and relevant. Statistics must be easily and quickly produced using widely available software, Excel. Then results must be translated into general business language and illustrated with compelling graphics to make them understandable and usable by decision makers. This book helps students master this process of using statistics to create competitive advantages as decision makers. Statistics are essential, relevant, easy to produce, easy to understand, valuable, and fun, when used to create competitive advantage. The Examples, Assignments, And Cases Used To Illustrate Statistics For Decision Making Come From Business Problems McIntire Corporate Sponsors and Partners, such as Rolls-Royce, Procter & Gamble, and Dell, and the industries that they do business in, provide many realistic examples. The book also features a number of examples of global business problems, including those from important emerging markets in China and India. It is exciting to see how statistics are used to improve decision making in real and important business decisions. This makes it easy to see how statistics can be used to create competitive advantages in similar applications in internships and careers. Learning Is Hands On With Excel and Shortcuts
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
average beta bottles car characteristics cells Chinese car production Chinese car sales coefficient column chart confidence interval correlation customers demographics descriptive statistics diaper difference distribution drivers Durbin Watson emissions enter estimate Excel executive compensation expected fit importance Footage forecast histogram Home Depot revenues home sales hybrid hypothesis hypothetical impact income independent variable Indian imports Insert function intercept kiosks labels leading indicator linear regression Lockheed Martin logit lower margin of error Mattel median memo menus multicollinearity natural logarithms past percent performance PivotChart PivotTable plot portfolio positively skewed prediction intervals predictors preemie Procter & Gamble proportion quarters rate of return rescaling residuals response salaries sample mean scatterplot segments shortcuts Significance F socially desirable sqrt square roots standard deviation standard error Starbucks stocks Table Team total compensation Triers Unlikely Triers variation worth utilities Yankee zero