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.

Mikel J. Harry, PhD, is President and Chairman of the Board
of the Six Sigma Management Institute. He is considered the
principal architect of Six Sigma and one of the world's leading
authorities in the field. Dr. Harry also focuses his research on
applications of experimental design, inferential statistics, and
statistical process control.

Prem S. Mann, PhD, is Professor and Chair of the
Department of Economics at Eastern Connecticut State University.
Dr. Mann has published numerous articles in the areas of labor
economics, microeconomics, and statistics. He is the author of
Introductory Statistics, Seventh Edition (Wiley).

Ofelia C. De Hodgins, MS, is a Six Sigma Global Master
Black Belt. She has over twenty-five years of consulting experience
in manufacturing and finance and has published more than thirty
journal articles in the areas of physics, industrial engineering,
statistics, and Statistical Process Control (SPC).

Richard L. Hulbert, MBA, is Vice President of Systems and
Technology for the Bank of New York Mellon. He has more than
thirty-five years of industry experience in the areas of network
engineering, installation, implementation, network operations of
technology infrastructure, distributed systems, market data, and
government telecommunications.

Christopher J. Lacke, PhD, is Associate Professor of
Mathematics at Rowan University. He has published numerous journal
articles in his areas of research interest, which include decision
analysis, Bayesian analysis, and operations research.

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.

1 Principles of Six Sigma.

1.1 Overview.

1.2 Six Sigma Essentials.

1.2.1 Driving Need.

1.2.2 Customer Focus.

1.2.3 Core Beliefs.

1.2.4 Deterministic Reasoning.

1.2.5 Leverage Principle.

1.3 Quality Definition.

1.4 Value Creation.

1.4.1 Value.

1.5 Business, Operations, Process and Individual (BOPI) Goals.

1.5.1 Differences between Product and Process Capability from a Six Sigma Perspective.

1.6 Underpinning Economics.

1.6.1 Sigma Benchmarking.

1.6.2 Breakthrough Goals.

1.6.3 Performance Benchmark.

1.7 Performance Metrics.

1.8 Process.

1.8.1 Process Models.

1.9 Design Complexity.

1.10 Nature and Purpose of Six Sigma.

1.10.1 Not Just Defect Reduction.

1.11 Needs That Underlie Six Sigma.

1.11.1 Looking Across the Organization.

1.11.2 Processing for Six Sigma.

1.11.3 Designing for Six Sigma.

1.11.4 Managing for Six Sigma.

1.11.5 Risk Orientation.

1.12 Why Focusing on The Customer is Essential to Six Sigma.

1.13 Success Factors.

1.14 Software …