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Statistics for six sigma green belts with minitab and jmp / David M. Levine.

By: Material type: TextTextPublisher number: 9780137017126 | FT PressSeries: PaperbackPublication details: New Delhi : Pearsons Education, 2006.Edition: 1st edDescription: xxi,368 p. ; 24 cm. (Rk#6.a Sh#04)ISBN:
  • 013701712X (paperback)
  • 9780137017126 (paperback)
DDC classification:
  • 519.5
Online resources: Summary: The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. Includes applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries. � Acknowledgments� xvii About the Author� xix Preface� xxi Chapter 1:� Fundamentals of Six Sigma� 1 Chapter 2:� Introduction to Statistics� 7 Chapter 3:� Presenting Data in Charts and Tables� 23 Chapter 4:� Descriptive Statistics� 39 Chapter 5:� Probability and Probability Distributions� 59 Chapter 6:� Sampling Distributions and Confidence Intervals� 95 Chapter 7:� Hypothesis Testing �113 Chapter 8:� Design of Experiments� 157 Chapter 9:� Simple Linear Regression� 211 Chapter 10:� Multiple Regression� 241 Chapter 11:� Control Charts for Six Sigma Management� 279 Appendix A:� Review of Arithmetic and Algebra� 321 Appendix B:� Summation Notation� 329 Appendix C:� Statistical Tables� 333 Appendix D:� Documentation of Data Files� 347 Glossary� 349 Index� 359.
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Book Book Air University Multan Campus Library NFIC 519.5 (Browse shelf(Opens below)) Available P000803

The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. Includes applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries. � Acknowledgments� xvii About the Author� xix Preface� xxi Chapter 1:� Fundamentals of Six Sigma� 1 Chapter 2:� Introduction to Statistics� 7 Chapter 3:� Presenting Data in Charts and Tables� 23 Chapter 4:� Descriptive Statistics� 39 Chapter 5:� Probability and Probability Distributions� 59 Chapter 6:� Sampling Distributions and Confidence Intervals� 95 Chapter 7:� Hypothesis Testing �113 Chapter 8:� Design of Experiments� 157 Chapter 9:� Simple Linear Regression� 211 Chapter 10:� Multiple Regression� 241 Chapter 11:� Control Charts for Six Sigma Management� 279 Appendix A:� Review of Arithmetic and Algebra� 321 Appendix B:� Summation Notation� 329 Appendix C:� Statistical Tables� 333 Appendix D:� Documentation of Data Files� 347 Glossary� 349 Index� 359.

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