Essential Statistics for Public Managers and Policy Analysts 3rd Edition
About the Author
Evan M. Berman is Professor of Public Management and Director of Internationalization at Victoria University of Wellington, School of Government. Prior, he was the Huey McElveen Distinguished Professor at Louisiana State University. His areas of expertise are human resource management, public performance, local government, and public governance in Asia. He is past Chair of the American Society for Public Administration’s Section of Personnel and Labor Relations. He has over 125 publications and 12 books, including People Skills At Work (CRC Press, 2011), Essential Statistics for Public Managers and Policy Analysts, Third Edition (CQ Press, 2012), and a trilogy of books on Public Administration in Asia (2010, 2011, 2013, CRC Press). He has published in all major journals of the discipline, is Senior Editor of Public Performance & Management Review, a Distinguished Fulbright Scholar, past University Chair Professor at National Chengchi University (Taipei, Taiwan), and a former policy analyst with the National Science Foundation.
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This text is adapted from Jessica Utts and Robert Heckard, it’s best-selling general introductory statistics text, Mind on Statistics. It emphasises the conceptual development of statistical ideas and seeks to find meaning in data. This local adaptation retains the conversational approach of the original text, with real examples and case studies of appeal and interest to Australian and New Zealand students. The revised structure and relevant examples motivate students and guide them through the statistical process of tackling problems, planning and data collection, analysing and interpreting information and finding solutions.
This book is a new type of intermediate microeconomics textbook.Previously, the choice was between books that use calculus to present formal theory dryly and with few, if any, applications to the real world and books that include applications but present theory using algebra and graphs only. This book uses calculus, algebra, and theory to analyze real-world problems. My purpose is to show that economic theory has practical, problem-solving uses and is not an empty academic exercise.
This book shows how individuals, policymakers, and firms use microeconomic tools to analyze and resolve problems. For examples, students learn that:
- individuals can draw on microeconomic theories when deciding whether to invest and whether to sign a contract that pegs prices to the government’s measure of inflation;
- policymakers (and voters) can employ microeconomics to predict the impact of taxes, regulations, and other measures before they are enacted;
- lawyers and judges use microeconomics in antitrust, discrimination, and contract cases; and
- firms apply microeconomic principles to produce at least cost and maximize profit, select strategies, decide whether to buy from a market or to produce internally, and write contracts to provide optimal incentives for employees.
My experience in teaching microeconomics for the departments of economics at the Massachusetts Institute of Technology; the University of Pennsylvania; the University of California, Berkeley; and the Wharton Business School has convinced me that students prefer the emphasis on real-world issues.
About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.
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