Statistical Problem Solving
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| Author | : Robert Donnelly |
| Publisher | : Penguin |
| Total Pages | : 732 |
| Release | : 2009-12-01 |
| Genre | : Mathematics |
| ISBN | : 1101151390 |
Learn to solve statistics problems—and make them no problem! Most math and science study guides are dry and difficult, but this is the exception. Following the successful The Humongous Books in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. There are also annotated notes throughout the book to clarify each problem—all guided by an author with a great track record for helping students and math enthusiasts. His website (calculus-help.com) reaches thousands of students every month.
| Author | : J. Chapman McGrew, Jr. |
| Publisher | : Waveland Press |
| Total Pages | : 266 |
| Release | : 2009-04-22 |
| Genre | : Science |
| ISBN | : 1478609621 |
Written for undergraduate geography majors and entry-level graduate students with limited backgrounds in statistical analysis and methods, McGrew and Monroe provide a comprehensive and understandable introduction to statistical methods in a problem-solving framework. Engaging examples and problems are drawn from a variety of topical areas in both human and physical geography and are fully integrated into the text. Without compromising statistical rigor or oversimplifying, the authors stress the importance of written narratives that explain each statistical technique. After introducing basic statistical concepts and terminology, the authors focus on nonspatial and spatial descriptive statistics. They transition to inferential problem solving, including probability, sampling, and estimation, before delving deeper into inferential statistics for geographic problem solving. The final chapters examine the related techniques of correlation and regression. A list of major goals and objectives is included at the end of each chapter, allowing students to monitor their own progress and mastery of geographic statistical materials. An epilogue, offering over 150 geographic situations, gives students a chance to figure out which statistical technique should be used for a particular situation.
| Author | : Thomas J. Kaźmierski |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 278 |
| Release | : 1995 |
| Genre | : Business & Economics |
| ISBN | : |
This hands-on book provides a simplified systems for solving quality problems in design and manufacturing using statistics. It covers methods for problem identificaiton, root cause analysist, and corrective action implementation. It aims to provide engineers and managers with proactive tools to avoid costly errors in prodcut desing and manufacturing.
| Author | : Shelemyahu Zacks |
| Publisher | : John Wiley & Sons |
| Total Pages | : 499 |
| Release | : 2013-12-17 |
| Genre | : Mathematics |
| ISBN | : 1118605837 |
Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.
| Author | : Stephen Kokoska |
| Publisher | : Macmillan Higher Education |
| Total Pages | : 837 |
| Release | : 2008-01-01 |
| Genre | : Mathematics |
| ISBN | : 1429281456 |
| Author | : Rehman M. Khan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 715 |
| Release | : 2013-01-28 |
| Genre | : Mathematics |
| ISBN | : 1118307526 |
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.
| Author | : Jenine K. Harris |
| Publisher | : SAGE Publications |
| Total Pages | : 821 |
| Release | : 2019-12-19 |
| Genre | : Social Science |
| ISBN | : 1506388132 |
Recipient of a 2021 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) "Statistics with R is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text." —David A.M. Peterson, Department of Political Science, Iowa State University Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the "R Team" characters. Inspired by the programming group "R Ladies," the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylines draw students into investigating contemporary issues such as marijuana legalization, voter registration, and the opioid epidemic, and lead them step-by-step through full-color illustrations of R statistics and interactive exercises. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.
| Author | : Stephen B. Vardeman |
| Publisher | : |
| Total Pages | : |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
| Author | : Roy Frieden |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 496 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 3642566995 |
Scientists and engineers in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This book develops these subjects within the context of optics, using a problem-solving approach. All methods are explicitly derived and can be traced back to three simple axioms given at the outset. This third edition contains many new applications to optical and physical phenomena, including a method of exactly estimating probability laws.
| Author | : Arthur J. Lembo (Jr.) |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 0 |
| Release | : 2014-10-24 |
| Genre | : Geography |
| ISBN | : 9781502982292 |
This book contains hands-on exercises for a full semester course in statistics for undergraduate geographers. The workbook follows the chapters in An Introduction to Statistical Problem Solving for Geographers, published by Waveland Press, although it will work well in any course focused on statistics and geography.
