Statistics For Six Sigma Made Easy Chapter 8 Getting Good Samples And Data
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| Author | : Warren Brussee |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 305 |
| Release | : 2012-07-17 |
| Genre | : Business & Economics |
| ISBN | : 007179753X |
A PLAIN ENGLISH GUIDE TO SOLVING REAL-WORLD PROBLEMS WITH SIX SIGMA Six Sigma is one of the most effective strategies for improving processes, creating better products, and boosting customer satisfaction, but business leaders often balk at its reputation for being too complex. Don't fall into that trap. Six Sigma is simple to understand and implement--if you have Statistics for Six Sigma Made Easy! Warren Brussee has helped businesses save millions of dollars with Six Sigma, and he explains how you can achieve similar results in this step-by-step guide. He presents a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem-solving method used by Six Sigma Greenbelts. Statistics for Six Sigma Made Easy! provides: A simplified form of the most common Six Sigma tools All the basic Six Sigma formulas and tables Dozens of Six Sigma statistical problem-solving case studies A matrix for finding the right statistical tool to meet your needs Basic Greenbelt training in one concise reference Best of all, no background in statistics is required--you can start improving quality and initiating costsaving improvements right away. Statistics for Six Sigma Made Easy! is the only reference you need to facilitate real-world application of Six Sigma tools.
| Author | : Warren Brussee |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 19 |
| Release | : 2004-05-12 |
| Genre | : Business & Economics |
| ISBN | : 0071734740 |
This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.
| Author | : Mikel J. Harry |
| Publisher | : John Wiley & Sons |
| Total Pages | : 827 |
| Release | : 2011-09-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1118210212 |
This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.
| Author | : Alexander Holmes |
| Publisher | : |
| Total Pages | : 1801 |
| Release | : 2023-12-13 |
| Genre | : Business & Economics |
| ISBN | : |
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
| Author | : Warren Brussee |
| Publisher | : Mcgraw-hill |
| Total Pages | : 192 |
| Release | : 2010-05-19 |
| Genre | : Business & Economics |
| ISBN | : 9780071736756 |
All the value of six sigma--Immediate results now available without the overhead! In today's economy, organizations need to improve quality, solve problems, and increase efficiencies on the fly—and Six Sigma has proven its worth to large and small companies around the world in all these areas. Written by a leading Six Sigma expert, Warren Brussee, Six Sigma on a Budget explains how you can use the principles of Six Sigma to see immediate results--all without expensive consultants or disruptive classes. Exclusive features of Six Sigma on a Budget: Written in plain English, it delivers huge benefits to anyone who's learned high school math and Microsoft Excel Can be implemented by managers or individuals without additional staff—in virtually any type of business Teaches all Six Sigma and Lean Six Sigma skills to give you knowledge equivalent to a traditionally trained Six Sigma green belt Includes case studies, formulas, glossary, quick tips, and other at-a-glance aids From the basics to more advanced strategies, the invaluable skills in Six Sigma on a Budget help you get great results with a limited investment of time and money. Warren Brussee was an engineer and plant manager at General Electric for 33 years. He is the holder of multiple patents for his Six Sigma work and is the author of numerous Six Sigma books, including Statistics for Six Sigma Made Easy and All About Six Sigma. He lives in Columbia, SC.
| Author | : Forrest W. Breyfogle, III |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1235 |
| Release | : 2003-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0471265721 |
Das bewährte Handbuch zum Statistiktool Six Sigma - jetzt in neuer, aktualisierter Auflage! - besprochen werden täglich benötigte Verfahren und deren Implementation - erweiterte Behandlung u.a. des Benchmarkings - mit vielen praxisnahen Übungen - enthält Pläne, Checklisten und Übersichten häufig auftretender Fehler
| Author | : Jeff Sauro |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 374 |
| Release | : 2016-07-12 |
| Genre | : Computers |
| ISBN | : 0128025484 |
Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. - Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices - Includes new and revised information on standardized usability questionnaires - Includes a completely new chapter introducing correlation, regression, and analysis of variance - Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data - Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English
| Author | : |
| Publisher | : |
| Total Pages | : 576 |
| Release | : 2005 |
| Genre | : Experimental design |
| ISBN | : |
| Author | : David Tanner |
| Publisher | : SAGE |
| Total Pages | : 553 |
| Release | : 2012 |
| Genre | : Education |
| ISBN | : 1412969778 |
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.
| Author | : Loon Ching Tang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 426 |
| Release | : 2007-04-04 |
| Genre | : Technology & Engineering |
| ISBN | : 0470061995 |
The 2007 winner of the Masing Book Prize sets out important Six Sigma concepts and a selection of up-to-date tools for quality improvement in industry. Six Sigma is a widely used methodology for measuring and improving an organization’s operational performance through a rigorous analysis of its practices and systems. This book presents a series of papers providing a systematic ‘roadmap’ for implementing Six Sigma, following the DMAIC (Define, Measure, Analyse, Improve and Control) phased approach. Motivated by actual problems, the authors offer insightful solutions to some of the most commonly encountered issues in Six Sigma projects, such as validation of normality, experimentation under constraints and statistical control of complex processes. They also include many examples and case studies to help readers learn how to apply the appropriate techniques to real-world problems. Key features: Provides a comprehensive introduction to Six Sigma, with a critical strategic assessment and a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. Presents some prominent design features of Six Sigma, and a newly proposed roadmap for healthcare delivery. Sets out information on graphical tools, including fishbone diagrams, mind-maps, and reality trees. Gives a thorough treatment of process capability analysis for non-normal data. Discusses advanced tools for Six Sigma, such as statistical process control for autocorrelated data. Consolidating valuable methodologies for process optimization and quality improvement, Six Sigma: Advanced Tools for Black Belts and Master Black Belts is a unique reference for practising engineers in the electronics, defence, communications and energy industries. It is also useful for graduate students taking courses in quality assurance.
