Basic Statistics for Business and Economics with Formula Card (The Mcgraw-Hill/Irwin Series Operations and Decision Sciences)

The collaborative efforts of Douglas Lind, William Marchal, and Samuel Wathen prove to be a success in their market-topping textbook Basic Statistics for Business and Economics with Formula Card (The Mcgraw-Hill/Irwin Series Operations and Decision Sciences), ISBN 9780077384470. Presenting coverage of the foundational principles of statistical resources and strategies, this book boasts a comprehendible, easy-to-follow writing style as well as thorough explanations of concepts. To further reach the student's visual needs, concepts are depicted with solved applied examples accompanying their introduction. The leading expert of this team of writers is that of Douglas Lind. Earning a doctorate from the University of Toledo, he currently serves as an adjunct professor at Coastal Carolina University. Lind has over 25 years of college teaching experience including courses such as statistics at the introductory, intermediate, and advanced undergraduate level, as well as graduate courses in statistics and research methods. He is also a past recipient of the Tony DeJute Outstanding Teacher award given annually by the College of Business to the outstanding teacher in the College. Lind is a veteran writer as well with several books published including Statistical Techniques in Business and Economics and Basic Statistics for Business and Economics. Douglas Lind, William Marchal, and Samuel Wathen order the concepts of Basic Statistics for Business and Economics with Formula Card (The Mcgraw-Hill/Irwin Series Operations and Decision Sciences) across 15 succinct chapters. Chapters are devoted to the presentation of such topics as frequency distributions and graphic presentations, numerical measures, displaying and exploring data, probability concepts, sampling methods, as well as estimation and confidence intervals. Other topics covered include analysis of variance, linear regression and correlation, and chi-square applications.