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H. Stamatis D.


Taylor and Francis

Data premiery:


388,45 PLN
Wysyłamy w 21 dni

Opis produktu

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This means not only do we have to fix the problem at hand but we also have to identify why the failure occurred and what was the opportunity to apply the appropriate knowledge to avoid the problem in the future. Essential Statistical Concepts for the Quality Professional offers a new nontechnical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies and tools for the future. Written by an expert with more than 30 years of experience in management quality training and consulting the book examines the fundamentals of statistical understanding and by doing so demonstrates the importance of using statistics in the decision making process. The author points out pitfalls to keep in mind when undertaking an experiment for improvement and explains how to use statistics in improvement endeavors. He discusses data interpretation common tests and confidence intervals and how to plan experiments for improvement. The book expands the notion of experimentation by dealing with mathematical models such as regression to optimize the improvement and understand the relationship between several factors. It emphasizes the need for sampling and introduces specific techniques to make sure accuracy and precision of the data is appropriate and applicable for the study at hand.The authors approach is somewhat new and unique: however he details tools and methodologies that can be used to evaluate the system for prevention. These tools and methodologies focus on structured repeatable processes that can be instrumental in finding real fixable causes of the human errors and equipment failures that lead to quality issues.What Is Statistics?Deductive and Inductive StatisticsThe Stages of a Sample StudyWarning!!!Control the DataSignificance Testing Wrong Signs Summary References Selected Bibliography Data Describing Data Data Orientation Nominal Ordinal Interval and Ratio Sampling Considerations The Frequency of the SampleDegrees of FreedomWhere Do I Start? What Is a PValue?Assessing NormalitySummarySelected Bibliography Summarizing Data Frequency Distributions Dot PlotsStem and Leaf DisplaysBox PlotsDescriptive Statistics Measures of DispersionNormality Areas in the Normal Distribution Standard ScoreA Sample from the Normal DistributionDistributions that Arent NormalThe Standard Error of the MeanTests of Distributions as a WholeTransformations to Obtain NormalityConfidence and SensitivityTest for Independence in Contingency TablesSummaryReferencesSelected BibliographyTests and Confidence Intervals for Means Test for When Is KnownTest for When Is Unknown Test for ł When and Are KnownTest for ł When and Are UnknownTest for Two Independent Samples When = Test of ł = for Two Independent Samples When Test for Differences Between Pr

Data Publikacji: 2012-05-18
Wymiary: 235 mm 156 mm 839.15 gr

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