Applied Statistics for the Six Sigma Green Belt is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. It’s specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology.

Applied Statistics For The Six Sigma Green Belt

Business & Money

Gupta, Bhisham C.

Walker, H. Fred

Management & Leadership

Asq Pr

This book focuses on statistical quality control (SQC), and covers such topics as: sampling, process set-up/verification and pre-control, control charts for variables and attributes, cumulative sum and exponentially weighted moving average control charts, process capability indices, measurement systems analysis, and acceptance sampling. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. Examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.

Statistical Quality Control for the Six Sigma Green Belt (Asq Quality Press)

The quality inspector is the person perhaps most closely involved with day-to-day activities intended to ensure products and services meet customer expectations. The quality inspector is required to understand and apply a variety of tools and techniques as described in the ASQ Certified Quality Inspector (CQI) Body of Knowledge (BoK). The tools and techniques identified in the BoK include technical math, metrology, inspection and test techniques, and quality assurance. Quality inspectors frequently work in the quality function of organizations in the various measurement and inspection laboratories, as well as on the shop floor supporting and interacting with quality engineers and production/service delivery personnel. This handbook is intended to serve as a ready reference for quality inspectors and quality inspectors-in-training, as well as a comprehensive reference for those individuals preparing to take the ASQ CQI examination. Examples and problems used throughout the handbook are thoroughly explained, algebra-based, and drawn from real-world situations encountered in the quality profession. To assist readers in using this book as a ready reference or as a study aid, it has been organized to conform explicitly to the CQI Body of Knowledge. It addresses all the topics critical to the work of quality inspectors: evaluating hardware documentation, performing laboratory procedures, inspecting products, measuring process performance, recording data and preparing formal reports, and much more. This comprehensive reference is a must-have for every quality inspector s bookshelf.

The Certified Quality Inspector Handbook

McShane-Vaughn, Mary

Walker, Fred H.

Elshennawy, Ahmad

Statistics and Probability for Engineers and Scientists

Engineering & Transportation

Guttman, Irwin

Engineering

wiley

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Statistics and Probability with Applications for Engineers and Scientists

Science & Math

Mathematics

A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: <ul>
<li>Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices</li> <li>A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method</li> <li>Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology</li> <li>A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results</li> </ul>
Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

This set includes Statistics and Probability with Applications for Engineers and Scientists &amp; Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. This book features comprehensive guidance on the design of experiments, detailed discussions on sampling distributions, and a clear presentation of nonparametric methods and simple and multiple linear regression methods. Readers will also find clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. This introductory text presents a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Statistics and Probability with Applications for Engineers and Scientists Set

Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining―including big data, classification, machine learning, and visualization―is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. <ul>
<li>Features two new chapters―one on Data Mining and another on Cluster Analysis</li> <li>Now contains R exhibits including code, graphical display, and some results</li> <li>MINITAB and JMP have been updated to their latest versions</li> <li>Emphasizes the p-value approach and includes related practical interpretations</li> <li>Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts</li> <li>Supplemented with an Instructor's-only solutions manual on a book’s companion website </li> </ul>
Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences.

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

Jayalath, Kalanka P.

STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also <ul> <li>Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field</li> <li>Discusses aspects of Six Sigma Methodology</li> <li>Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts</li> <li>Requires no previous knowledge of statistical theory</li> <li>Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems</li> </ul> Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It's also useful for those who use Six Sigma techniques to improve the quality of products in such areas.

Statistical Quality Control: Using MINITAB, R, JMP and Python

See the best price to sell, buy, or rent books by Gupta, Bhisham C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Gupta, Bhisham C.

See the best price to sell, buy, or rent books by Gupta, Bhisham C.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Applied Statistics For The Six Sigma Green Belt

Statistical Quality Control for the Six Sigma Green Belt (Asq Quality Press)

The Certified Quality Inspector Handbook

Statistics and Probability for Engineers and Scientists

Statistics and Probability with Applications for Engineers and Scientists

Statistics and Probability with Applications for Engineers and Scientists

Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

Statistics and Probability with Applications for Engineers and Scientists Set

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

Statistical Quality Control: Using MINITAB, R, JMP and Python