To make Six Sigma work, executive and managerial qgreenbeltsq and qchampionsq need to understand core statistical concepts and techniques--but they don't need to become professional statisticians. Now, there's a concise, non-mathematical guide to all the statistics they need--and none of the statistics they don't need. The author shows them exactly how to capture the right information, make sense of it, and use it to improve quality throughout the entire Six Sigma DMAIC process. Levine illuminates topics ranging from statistical process control and experimental design to regression analysis and hypothesis testing. Drawing on the experience that has made him one of the world's most honored statistics educators, Levine presents statistical topics with the least possible mathematics. Throughout, he teaches through realistic examples--including many examples from the service industries, among the fastest-growing areas of Six Sigma implementation.0- I I I I I I I 2m 4CD 6(1) H13 HID IZED 14(1) CIIIICFOGI 9, 4 a#39; a#39; Blvarluto Flt oI IIounByFeet JMP Scatter Plot for :2 the Moving Company 6, , Data aw 540 1] 20 10 D211] a#39;UU GU] am a#39;IQ 12% I40 FBQ The scatter plot indicates an increasinganbsp;...

Title | : | Statistics for Six Sigma Green Belts |

Author | : | David M. Levine |

Publisher | : | Prentice Hall - 2006 |

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