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Applied Statistics: Examining Global Economic and Social Problems introduces students to the complex and relevant social, economic, and political problems that we face today through the use and application of foundational concepts in statistics. The text uses live data to show students the nature of and solutions to global issues such as income inequality, consumer and student debt, government deficits, corporate crime, and many other common dilemmas, illustrating the applied nature of statistics in a meaningful and concrete way. Over the course of 13 chapters, the book addresses topics…mehr

Produktbeschreibung
Applied Statistics: Examining Global Economic and Social Problems introduces students to the complex and relevant social, economic, and political problems that we face today through the use and application of foundational concepts in statistics. The text uses live data to show students the nature of and solutions to global issues such as income inequality, consumer and student debt, government deficits, corporate crime, and many other common dilemmas, illustrating the applied nature of statistics in a meaningful and concrete way. Over the course of 13 chapters, the book addresses topics including statistical analysis, graphs, computer applications, numerical measures, probability, and probability distribution. Students learn about sampling means and techniques, confidence intervals, hypothesis tests, the meaning of two populations, and simple regression and correlation analysis. Each chapter contains problems and exercises to help students better understand the role of statistics within the context of global challenges. Applied Statistics is well-suited for undergraduate and graduate business statistic courses, as well as social science courses with emphasis in statistical data. Allen Webster earned his B.S. and M.S. in economics from Fort Hays State University and his Ph.D. from Florida State University in human resources and labor economics. He is a professor of finance and quantitative methods at Bradley University. His areas of academic expertise include applied statistics, economic freedom, and income inequality.