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Benjamin Parzybok: IMG A Brief History of Video Games Played by Mayors, Presidents, and Emperors



Brandon Bartlett, the fictional mayor of Portland in my novel Sherwood Nation, is addicted to playing video games. In a city he's all but lost... Continue »
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Minitab Demystified

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Minitab Demystified Cover

 

Synopses & Reviews

Publisher Comments:

Need to learn Minitab? Problem Solved! Get started using Minitab right way with help from this hands-on guide. Minitab Demystifiedwalks you through essential Minitab features and shows you how to apply them to solve statistical analysis problems. Featuring coverage of Minitab 16, this practical guide explores the Minitab interface and the full range of Minitab graphics, Distribution models, statistical intervals, hypothesis testing, and sample size calculations are clearly explained. The book covers modeling tools of regression and the design of experiments (DOE) as well as the industrial quality tools of measurement systems analysis, control charts, capability analysis, acceptance sampling, and reliability analysis. Detailed examples and concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Accessing powerful Minitab functions with the Minitab assistant Confidence, prediction, and tolerance intervals Designing and analyzing experiments with hard-to-change variables Statistical process control (SPC), Six Sigma applications, and quality control Predicting the economic impact of sampling Analyzing life data with additional variables Simple enough for a beginner, challenging enough for an advanced student, and thorough enough for a Six Sigma professional, Minitab Demystifiedis your shortcut to statistical analysis success!

Synopsis:

Explains how to use the statistical analysis software Minitab 16.

Synopsis:

Need to learn Minitab? Problem solved

Featuring coverage of the latest release of the software--Minitab 16--Minitab DeMYSTiFieD accelerates the Minitab learning curve through friendly text, progressive examples, and quizzes to build your confidence. This book helps you to quickly find the best features of Minitab and apply them to solve your statistical analysis problems.

Minitab DeMYSTiFieD features: Chapter-opening objectives offering insight into what you're going to learn in each stepQuestions at the end of every chapter to reinforce learning and pinpoint weaknessesStill Struggling? icons providing specific recommendations for those having difficulty with certain subtopicsA final exam for overall self-assessmentNew features of Minitab 16 fully integrated into the textChapters on Six Sigma and other common industrial applicationsCurriculum Tree that shows how the topic covered in the book fits into a larger curriculumExercises and problems that reflect real-world scenarios

Easy-to-follow coverage of:

Distribution models; intervals for making decisions; hypothesis testing; sample size calculations; regression tools; design of experiments (DOE) toolbox in Minitab; measurement systems analysis; control charts; capability analysis; acceptance sampling; reliability analysis; the Minitab assistant; and more

About the Author

Andrew Sleeper is a statistical consultant and trainer who has headed his own company since 2002. His industrial career includes work as a design engineer, reliability engineer, project manager, and Six Sigma Black Belt. Sleeper has presented numerous papers and articles on statistical tools in the quality industry. He is the author of two statistical tools books by McGraw-Hill, Design for Six Sigma Statistics, and Six Sigma Distribution Modeling.

Table of Contents

Chapter 1. Getting Started with Minitab Statistical Software

Chapter 2. Analyzing and Comparing Variables with Graphs

Chapter 3. Exploring the Minitab Environment

Chapter 4. Selecting and Using Distribution Models in Minitab

Chapter 5. Making Decisions with Intervals

Chapter 6. Testing Hypotheses

Chapter 7. Calculating Sample Size

Chapter 8. Fitting Regression Models

Chapter 9. Designing and Analyzing Experiments

Chapter 10. Assessing Measurement Systems

Chapter 11. Control Charting

Chapter 12. Measuring Process Capability

Chapter 13. Acceptance Sampling

Chapter 14. Reliability Analysis

Final Exam

Answers to Quizzes and Final Exam

Further Reading

Index

Product Details

ISBN:
9780071762304
Publisher:
McGraw-Hill Professional
Subject:
Mathematics : Probability & Statistics - General
Author:
Sleeper, Andrew
Subject:
Mathematics | Probability and Statistics
Subject:
Mathematics -- Software.
Subject:
main_subject
Subject:
all_subjects
Publication Date:
August 2011
Binding:
eBooks
Language:
English
Pages:
576

Related Subjects

» Business » General
» Computers and Internet » Operating Systems » General
» Science and Mathematics » Mathematics » Probability and Statistics » General
» Science and Mathematics » Mathematics » Probability and Statistics » Statistics
» Science and Mathematics » Mathematics » Software

Minitab Demystified
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Product details 576 pages McGraw-Hill Companies,Incorporated - English 9780071762304 Reviews:
"Synopsis" by , Explains how to use the statistical analysis software Minitab 16.
"Synopsis" by , Need to learn Minitab? Problem solved

Featuring coverage of the latest release of the software--Minitab 16--Minitab DeMYSTiFieD accelerates the Minitab learning curve through friendly text, progressive examples, and quizzes to build your confidence. This book helps you to quickly find the best features of Minitab and apply them to solve your statistical analysis problems.

Minitab DeMYSTiFieD features: Chapter-opening objectives offering insight into what you're going to learn in each stepQuestions at the end of every chapter to reinforce learning and pinpoint weaknessesStill Struggling? icons providing specific recommendations for those having difficulty with certain subtopicsA final exam for overall self-assessmentNew features of Minitab 16 fully integrated into the textChapters on Six Sigma and other common industrial applicationsCurriculum Tree that shows how the topic covered in the book fits into a larger curriculumExercises and problems that reflect real-world scenarios

Easy-to-follow coverage of:

Distribution models; intervals for making decisions; hypothesis testing; sample size calculations; regression tools; design of experiments (DOE) toolbox in Minitab; measurement systems analysis; control charts; capability analysis; acceptance sampling; reliability analysis; the Minitab assistant; and more

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