Essentials of modern business statistics with Microsoft® Office Excel® / David R. Anderson, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology, Jeffrey D. Camm, Wake Forest University, James J. Cochran, University of Alabama.

Includes bibliographical references and index.

Data and statistics -- Descriptive statistics : tabular and graphical displays -- Descriptive statistics : numerical measures -- Introduction to probability -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Interval estimation -- Hypothesis tests -- Inference about means and proportions with two populations -- Inferences about population variances -- Tests of goodness of fit, independence, and multiple proportions -- Experimental design and analysis of variance -- Simple linear regression -- Multiple regression.

"The purpose of Essentials of Modern Business Statistics with Microsoft® Office Excel® is to give students, primarily those in the fields of business administration and economics, a conceptual introduction to the field of statistics and its many applications."--Preface (page xvii).