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Statistics For Making Decisions
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Book Synopsis Statistics for Making Decisions by : Nicholas T. Longford
Download or read book Statistics for Making Decisions written by Nicholas T. Longford and published by CRC Press. This book was released on 2021-03-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: A constructive response to the criticisms of using hypothesis testing for making decisions Integrating the context (the client’s perspective, value judgments, priorities and remits) in the analysis, combining it with sensitivity analysis that handles the uncertainty arising in elicitation of the context Treatment of the problems by elementary (analytical) methods Applications that illustrate the methods in their best light • Drawing on several publications in high-profile journals in applied statistics
Book Synopsis Translating Statistics to Make Decisions by : Victoria Cox
Download or read book Translating Statistics to Make Decisions written by Victoria Cox and published by Apress. This book was released on 2017-03-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians—and also statisticians who present statistical reports to non-statisticians—must avoid if statistical results are to be correctly used for evidence-based business decision making. Victoria Cox, senior statistician at the United Kingdom’s Defence Science and Technology Laboratory (Dstl), distills the lessons of her long experience presenting the actionable results of complex statistical studies to users of widely varying statistical sophistication across many disciplines: from scientists, engineers, analysts, and information technologists to executives, military personnel, project managers, and officials across UK government departments, industry, academia, and international partners. The author shows how faulty statistical reasoning often undermines the utility of statistical results even among those with advanced technical training. Translating Statistics teaches statistically naive readers enough about statistical questions, methods, models, assumptions, and statements that they will be able to extract the practical message from statistical reports and better constrain what conclusions cannot be made from the results. To non-statisticians with some statistical training, this book offers brush-ups, reminders, and tips for the proper use of statistics and solutions to common errors. To fellow statisticians, the author demonstrates how to present statistical output to non-statisticians to ensure that the statistical results are correctly understood and properly applied to real-world tasks and decisions. The book avoids algebra and proofs, but it does supply code written in R for those readers who are motivated to work out examples. Pointing along the way to instructive examples of statistics gone awry, Translating Statistics walks readers through the typical course of a statistical study, progressing from the experimental design stage through the data collection process, exploratory data analysis, descriptive statistics, uncertainty, hypothesis testing, statistical modelling and multivariate methods, to graphs suitable for final presentation. The steady focus throughout the book is on how to turn the mathematical artefacts and specialist jargon that are second nature to statisticians into plain English for corporate customers and stakeholders. The final chapter neatly summarizes the book’s lessons and insights for accurately communicating statistical reports to the non-statisticians who commission and act on them. What You'll Learn Recognize and avoid common errors and misconceptions that cause statistical studies to be misinterpreted and misused by non-statisticians in organizational settings Gain a practical understanding of the methods, processes, capabilities, and caveats of statistical studies to improve the application of statistical data to business decisions See how to code statistical solutions in R Who This Book Is For Non-statisticians—including both those with and without an introductory statistics course under their belts—who consume statistical reports in organizational settings, and statisticians who seek guidance for reporting statistical studies to non-statisticians in ways that will be accurately understood and will inform sound business and technical decisions
Book Synopsis Statistical Analysis for Managerial Decisions by : John C. G. Boot
Download or read book Statistical Analysis for Managerial Decisions written by John C. G. Boot and published by . This book was released on 1970 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on statistical methods used in solving problems prior to decision making in management - covers problems of sampling, estimation, hypothesis testing, regression and correlation, forecasting, statistical methods for quality control, etc., and includes an appendix on the use of computers in statistical analysis. Bibliography pp. 627 to 631.
Book Synopsis Statistics for Making Decisions by : Nicholas T. Longford
Download or read book Statistics for Making Decisions written by Nicholas T. Longford and published by CRC Press. This book was released on 2021-03-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making decisions is a ubiquitous mental activity in our private and professional or public lives. It entails choosing one course of action from an available shortlist of options. Statistics for Making Decisions places decision making at the centre of statistical inference, proposing its theory as a new paradigm for statistical practice. The analysis in this paradigm is earnest about prior information and the consequences of the various kinds of errors that may be committed. Its conclusion is a course of action tailored to the perspective of the specific client or sponsor of the analysis. The author’s intention is a wholesale replacement of hypothesis testing, indicting it with the argument that it has no means of incorporating the consequences of errors which self-evidently matter to the client. The volume appeals to the analyst who deals with the simplest statistical problems of comparing two samples (which one has a greater mean or variance), or deciding whether a parameter is positive or negative. It combines highlighting the deficiencies of hypothesis testing with promoting a principled solution based on the idea of a currency for error, of which we want to spend as little as possible. This is implemented by selecting the option for which the expected loss is smallest (the Bayes rule). The price to pay is the need for a more detailed description of the options, and eliciting and quantifying the consequences (ramifications) of the errors. This is what our clients do informally and often inexpertly after receiving outputs of the analysis in an established format, such as the verdict of a hypothesis test or an estimate and its standard error. As a scientific discipline and profession, statistics has a potential to do this much better and deliver to the client a more complete and more relevant product. Nicholas T. Longford is a senior statistician at Imperial College, London, specialising in statistical methods for neonatal medicine. His interests include causal analysis of observational studies, decision theory, and the contest of modelling and design in data analysis. His longer-term appointments in the past include Educational Testing Service, Princeton, NJ, USA, de Montfort University, Leicester, England, and directorship of SNTL, a statistics research and consulting company. He is the author of over 100 journal articles and six other monographs on a variety of topics in applied statistics.
Book Synopsis Statistical Analysis for Decision Making by : Morris Hamburg
Download or read book Statistical Analysis for Decision Making written by Morris Hamburg and published by Houghton Mifflin Harcourt P. This book was released on 1983 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Using Statistics to Make Educational Decisions by : David Tanner
Download or read book Using Statistics to Make Educational Decisions written by David Tanner and published by SAGE. This book was released on 2012 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Government scrutiny and intensified oversight have dramatically changed the landscape of education in recent years. Observers want to know how schools compare, which district is best, which states are spending the most per student on education, whether reforms are making a difference, and why so many students are failing. Some of these questions require technical answers that educators historically redirected to outside experts, but the questions leveled at all educators have become so acute and persistent that they can no longer be outsourced. This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.
Book Synopsis Business Statistics by : David F. Groebner
Download or read book Business Statistics written by David F. Groebner and published by Prentice Hall. This book was released on 2008 with total page 1080 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making. Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics. For business professionals involved in data presentations and descriptive analyses.
Book Synopsis Optimal Decision Making in Operations Research and Statistics by : Irfan Ali
Download or read book Optimal Decision Making in Operations Research and Statistics written by Irfan Ali and published by CRC Press. This book was released on 2021-11-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
Book Synopsis Introductory Statistics and Probability by : David W. Blakeslee
Download or read book Introductory Statistics and Probability written by David W. Blakeslee and published by . This book was released on 1988 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Analysis by : Robert Parsons
Download or read book Statistical Analysis written by Robert Parsons and published by HarperCollins Publishers. This book was released on 1978 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: The frequency distribution; Descriptive measures: ungrouped data; Descriptive measures: grouped data; The probability calculus; Bayes'rule - revision of probabilities in the light of new information; The concept of a discrete probability distribution: the binomial probability distribution; Bayes'rule revisted; Determination of an optimal decision rule - binomial sampling: a bayesin approach; The poisson and exponential distribution; The normal probability distribution: a continuous probability distribution; Sampling: the concept and the design; Estimation of a population parameter: the population mean; Estimation: the bayesian versus the classical position; Testing hypotheses concerning the value of a population parameter: the population mean; Tests ofhypotheses: determination of optimal sampling size - a classical approach; The t distribution (small sample theory); Three other parameters; The f distribution: analysis of variance; Decision making under risk: an introduction; Time series analysis: an introduction; Time series analysis: secular trend; Time series analysis: seasonal variation and cyclical fluctuatuions; Simple regression and correlation analysis; Multiple regression and correlation analysis; Nonparametric statistics; Index numbers.
Book Synopsis Probability and Statistics for Decision Making by : Ya-lun Chou
Download or read book Probability and Statistics for Decision Making written by Ya-lun Chou and published by . This book was released on 1972 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Statistical Decision Theory by : Silvia Bacci
Download or read book Introduction to Statistical Decision Theory written by Silvia Bacci and published by CRC Press. This book was released on 2019-07-11 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. Features Covers approaches for making decisions under certainty, risk, and uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory
Book Synopsis Learning Statistics with R by : Daniel Navarro
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author :David E. Groebner Publisher :Simon & Schuster Books For Young Readers ISBN 13 :9780023399312 Total Pages :324 pages Book Rating :4.3/5 (993 download)
Book Synopsis Business Statistics by : David E. Groebner
Download or read book Business Statistics written by David E. Groebner and published by Simon & Schuster Books For Young Readers. This book was released on 1993 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistics Made Simple for School Leaders by : Susan Rovezzi Carroll
Download or read book Statistics Made Simple for School Leaders written by Susan Rovezzi Carroll and published by Scarecrow Press. This book was released on 2002-10-16 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.
Book Synopsis Business Statistics by : Richard Arnold Johnson
Download or read book Business Statistics written by Richard Arnold Johnson and published by . This book was released on 2003 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Statistics in Decision-making by : George Kuttickal Chacko
Download or read book Applied Statistics in Decision-making written by George Kuttickal Chacko and published by Elsevier Publishing Company. This book was released on 1971 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
