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Would you like to learn more about using Excele? Are looking for an easier way to solve statistical quality control problems? Statistical Quality Control (SQC) experts Steven Zimmerman and Marjorie Icenogle have updated their guide that combines the power of each into this one integrated book and CD-Rom. While this introduction to SQC is for beginners to either quality or to the software product Excel, those with a more advanced knowledge of SQC and Excel will also find this book valuable to incorporate the two. New versions of Excel make creating quality control spreadsheets easier than ever. This new edition contains spreadsheets for: exponential weighted moving average charts, moving sum of the sample statistic control charts, cumulative sum charts, reliability problems, and information on using the Pivot Table and Pivot Chart functions in Excel. This guide begins with introductions to the concepts of SQC and the use of spreadsheets. a review of Exceles features is followed by explanations of statistical distribution, outliers, and the analysis required for SQC methods. Basic statistical process control methods such as p and np control charts, c and u control charts, and Pareto charts are demonstrated. Descriptions on acceptance sampling methods including binomial and hypergeometric distributions and average outgoing quality curves are also offered. Also new to this package is direction on using Excel in power point presentations. Practice problems, definitions of key terms, detailed graphics, and end-of-chapter summaries help make this book an outstanding tool to combine SQC with Excel software.
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Statistics for Management using MS Excel caters to the requirements of MBA students. The aim is to provide clear cut knowledge of various statistical tools using Microsoft Excel. Moreover, this book will also be useful for researchers, practitioners and other undergraduate and postgraduate courses of various institutes and universities. Today, managers must know how to convert data into information. This skill extends beyond the computation of statistics. The requirement of the business world is a book which not only gives statistical concepts but also its applications to the real world. Statistics is increasingly becoming a tool for analysis for marketing managers, financial analysts, economists, and others. The book has interpretation and decision making with the help of statistics at the forefront. The prime objective of this book is to describe how to use Microsoft Excel for statistical analysis in a step-by-step method.
So you’ve been asked to lead a quality control initiative? Or maybe you’ve been assigned to a quality team. Perhaps you’re a CEO whose main concern is to make your company faster, more efficient, and less expensive. Whatever your role is, quality control is a critical concept in every industry and profession. Quality Control For Dummies is the straightforward, easy guide to improving your company’s quality. It covers all of today’s available options and provides expert techniques for introducing quality methods to your company, collecting data, designing quality processes, and more. This hands-on guide gives you all the tools you’ll ever need to enhance your company’s quality, including: Understanding the importance of quality standards Putting fundamental quality control methods to use Listening to your customer about quality issues Whipping quality control into shape with Lean Working with value stream mapping Focusing on the 5S method Supplement a process with Kanban Fixing tough problems with Six Sigma Using QFD to win customers over Improving you company with TOC This invaluable reference is written from an unbiased viewpoint, giving you all the facts about each theory with no fuzzy coverings. It also includes steps for incorporating quality into a new product and Web sites packed with quality control tips and techniques. With Quality Control For Dummies, you’ll be able to speed up production, eliminate waste, and save money!
The new edition of the best-selling reference on statistical quality control has been updated to include definitions re-written for a wider audience to grasp the meaning of technical terms. These definitions also parallel national and international standards and are categorized into sections that make it easy to identify by subject matter.Terms have been extensively cross-referenced and alphabetized in one handy reference along with a comprehensive collection of statistical tables that make it easy to access all of the information needed for statistical calculation. New items added to this edition include a guide for control chart selection and g and h control charts. Basic statistical measures and equation examples make this an outstanding resource for every quality professional as well as a great resource for preparing for the Certified Quality Engineer, Certified Mechanical Inspector, and Certified Quality Technician's exams.
Arranged in alphabetical order for quick reference, this book provides the quality practitioner with a single resource that illustrates, in a practical manner, how to execute specific statistical methods frequently used in the quality sciences. Each method is presented in a stand-alone fashion and includes computational steps, application comments, and a fully illustrated brief presentation on how to use the tool or technique. A plethora of topics have been arranged in alphabetical order, ranging from acceptance sampling control charts to zone format control charts. This reference is accessible for the average quality practitioner who will need a minimal prior understanding of the techniques discussed to benefit from them. Each topic is presented in a standalone fashion with, in most cases, several examples detailing computational steps and application comments. This second edition includes new sections on advanced SPC applications, reliability applications, and Simplex Optimization. There are expansions in the sections on process capability analysis, hypothesis testing, and design of experiments.
“At last! A book about errors, flubs, and screwups that pushes beyond platitudes and actually shows how to enlist our mistakes as engines of learning, growth, and progress. Dive into The Mistakes That Make Us and discover the secrets to nurturing a psychologically safe environment that encourages the small experiments that lead to big breakthroughs.” DANIEL H. PINK, #1 NEW YORK TIMES BESTSELLING AUTHOR OF DRIVE, WHEN, AND THE POWER OF REGRET We all make mistakes. What matters is learning from them, as individuals, teams, and organizations. The Mistakes That Make Us: Cultivating a Culture of Learning and Innovation is an engaging, inspiring, and practical book by Mark Graban that presents an alternative approach to mistakes. Rather than punishing individuals for human error and bad decisions, Graban encourages us to embrace and learn from them, fostering a culture of learning and innovation. Sharing stories and insights from his popular podcast, “My Favorite Mistake,” along with his own work and career experiences, Graban show how leaders can cultivate a culture of learning from mistakes. Including examples from manufacturing, healthcare, software, and two whiskey distillers, the book explores how organizations of all sizes and industries can benefit from this approach. In the book, you'll find practical guidance on adopting a positive mindset towards mistakes. It teaches you to acknowledge and appreciate them, take necessary measures to avoid them while gaining knowledge from the ones that occur. Additionally, it emphasizes creating a safe environment to express mistakes and encourages responding constructively by emphasizing learning over punishment. Developing a culture of learning from mistakes through psychological safety is essential in effective leadership and organizational success. Leaders must lead by example and demonstrate kindness to themselves and others by accepting their own blunders instead of solely pushing for more courage from their team. This approach, as Graban highlights, fosters a positive and productive work environment. The Mistakes That Make Us is a must-read for anyone looking to create a stronger organization that produces better results, including lower turnover, more improvement and innovation, and better bottom-line performance. Whether you are a startup founder or an aspiring leader in a larger company, this book will inspire you to lead with kindness and humility, and show you how mistakes can make things right. Table of Contents: Chapter One: Think Positively Chapter Two: Admit Mistakes Chapter Three: Be Kind Chapter Four: Prevent Mistakes Chapter Five: Help Everyone to Speak Up Chapter Six: Choose Improvement, Not Punishment Chapter Seven: Iterate Your Way to Success Chapter Eight: Cultivate Forever Afterword End Notes List of Podcast Guests Mentioned in the Book More Praise for the Book ”Making mistakes is not a choice. Learning from them is. Whether we admit it or not, mistakes are the raw material of potential learning and the means by which we progress and move forward. Mark Graban's The Mistakes That Make Us is a brilliant treatment of this topic that helps us frame mistakes properly, detach them from fear, and see them as expectations, not exceptions. This book's ultimate contribution is helping us realize that creating a culture of productive mistake-making accelerates learning, confidence, and success.” TIMOTHY R. CLARK, PHD, AUTHOR OF THE 4 STAGES OF PSYCHOLOGICAL SAFETY, CEO OF LEADERFACTOR
Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.′ - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha′s Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book. An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time.
Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions
An easy-to-use software package with excellent graphical capabilities, Excel is an ideal way to teach and learn statistics at the introductory level. By organizing data into spreadsheets, Excel allows for easy analysis and graphic exploration. Its versatility, convenience, and reliability make it an attractive alternative to specialized statistical software. This manual was written specifically for using Excel with David Moore and George McCabe's Introduction to the Practice of Statistics, Fifth Edition (IPS) - a text that advocates using statistical software to free students from computations, allowing them to focus on the more practical matters of data gathering and analysis. No prior knowledge of the software is necessary. The manual provides a detailed introduction to Excel in the context of IPS and follows the text chapter by chapter to show how to use Excel to work through specific examples and exercises. In addition, the author developed add-in macros to assist in creating boxplots and normal quantile plots, a capability that does not exist in standard Excel. The macros are available on the textbook companion Web sit and can be downloaded and used on your own computer. This manual is compatible with Excel 2000 (Windows) and Excel 2001 (Macintosh), and the code successfully operates under all subsequent versions of the software, It is also easily adaptable for students using eXcel 97 (Windows) or Excel 98 (Macintosh). - Back cover.