E-Book, Englisch, 585 Seiten
Castaneda-Mendez Understanding Statistics and Statistical Myths
Erscheinungsjahr 2015
ISBN: 978-1-4987-2746-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
How to Become a Profound Leader
E-Book, Englisch, 585 Seiten
ISBN: 978-1-4987-2746-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
In a series of Platonic dialogues, a fictional Socrates shows how to profoundly understand statistics in ways courses do not: by understanding the meaning of terms and the relationship among different concepts and analyses. Each dialogue addresses a statistical myth, defined as a universal statement that, in fact, is either completely false or false under circumstances. Unfortunately, these statements often occur in Six Sigma training materials. By understanding when/why the statements are false, readers develop a deeper understanding of statistics.
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Weitere Infos & Material
Preface. Prologue. Rote learning. Statistics as a religion. Knowledge theory. The profound learner. Structure of book. Dialogues. Myth 1: two types of data—attribute/discrete and measurement. Myth 4: s = v[S(Xi-X)/(n- 1)] is the correct formula for sample standard deviation. Myth 10: p = probability of making an error. Myth 14: if p>alpha can only fail to reject Ho rather than accept Ho. Myth 16: parts and operators for an MSA do not have to be randomly selected; select parts to cover the range of process variation/good and bad. Myth 19: control limits are +/-3 standard deviations from the center line. Myth 20: ±3 sigma limits are the most economical control chart limits. Myth 25: identify and eliminate special or assignable causes of variation. Myth 27: control charts are not tests of hypotheses. Myth 28: process needs to be stable to calculate process capability. Myth 31: homogeneity or stability is required to establish a baseline.