Statistical thinking: improving business performance

How statistical thinking and methodology can help you make crucial business decisionsStraightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here,you'll discover how to implement statistical thinking and methodology in yourwork to improve business performance.Explores why statistical thinking is necessary and helpfulProvides case studies that illustrate how to integrate several statistical tools into the decision-making processFacilitates and encourages an experiential learning environment to enable you to apply material to actual problemsWith an in-depth discussion of JMP software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses. INDICE: PrefacePart One Statistical Thinking ConceptsChapter 1 Need for Business ImprovementToday's Business Realities and the Need to ImproveWe Now Have Two Jobs: A Model for Business ImprovementNew Management Approaches Require Statistical ThinkingPrinciples of Statistical ThinkingApplications of Statistical ThinkingSummaryChapter 2 Statistical Thinking StrategyCASE STUDY: The Effect of Advertising on SalesCASE STUDY: Improvement of a Soccer Team's PerformanceStatistical Thinking StrategyContext of Statistical Thinking: Statistics Discipline as a SystemVariation in Business ProcessesSynergy Between Data and Subject Matter KnowledgeDynamic Nature of Business ProcessesSummaryProject UpdateChapter 3 Understanding Business ProcessesExamples of Business ProcessesSIPOC Model for ProcessesIdentifying Business ProcessesAnalysis of Business ProcessesSystems of ProcessesMeasurement ProcessSummaryProject UpdatePart Two Statistical Engineering: Frameworks and Basic ToolsChapter 4 Statistical Engineering: Tactics to Deploy Statistical ThinkingStatistical EngineeringCASE STUDY: Reducing Resin Output VariationCASE STUDY: Reducing Telephone Waiting Time at a BankBasic Process Improvement FrameworkCASE STUDY: Resolving Customer Complaints of Baby Wipe FlushabilityCASE STUDY: The Realized Revenue FiascoBasic Problem-Solving FrameworkDMAIC FrameworkDMAIC Case Study: Newspaper AccuracySummaryProject UpdateChapter 5 Process Improvement and Problem-Solving ToolsStratificationData Collection ToolsBasic Graphical Analysis ToolsKnowledge-Based ToolsProcess Stability and Capability ToolsSummaryProject UpdatePart Three Formal Statistical MethodsChapter 6 Building and Using ModelsExamples of Business ModelsTypes and Uses of ModelsRegression Modeling ProcessBuilding Models with One Predictor VariableBuilding Models with Several Predictor VariablesMulticollinearity, another Model CheckSome Limitations of Using Existing DataSummaryProject UpdateChapter 7 Using Process Experimentation to Build ModelsWhy Do We Need a Statistical Approach?Examples of Process ExperimentsStatistical Approach to ExperimentationTwo-Factor Experiments: A Case StudyThree-Factor Experiments: A Case StudyLarger ExperimentsBlocking, Randomization, and Center PointsSummaryProject UpdateChapter 8 Applications of Statistical Inference ToolsExamples of Statistical Inference ToolsProcess of Applying Statistical InferenceStatistical Confidence and Prediction IntervalsStatistical Hypothesis TestsTests for Continuous DataTest for Discrete Data: Comparing Two or More ProportionsTest for Regression Analysis: Test on a Regression CoefficientSample Size FormulasSummaryProject UpdateChapter 9 Underlying Theory of Statistical InferenceApplications of the TheoryTheoretical Framework of Statistical InferenceTypes of DataProbability DistributionsSampling DistributionsLinear CombinationsTransformationsSummaryProject UpdateChapter 10 Summary and Path ForwardA Personal Case Study by Tom PohlenReview of the Statistical Thinking ApproachText SummaryPotential Next Steps to Deeper Understanding of Statistical ThinkingProject Summary and DebriefingAppendicesAppendix A Effective TeamworkAppendix B Presentations and Report WritingAppendix C More on SurveysAppendix D More on RegressionAppendix E More on Design of ExperimentsAppendix F More on Inference ToolsAppendix G More on Probability DistributionAppendix H Process Design (Reengineering)Appendix It Critical ValuesAppendix J Standard Normal Probabilities (Cumulative z CurveAreas)Index

• ISBN: 978-1-118-09477-8
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 544
• Fecha Publicación: 09/05/2012
• Nº Volúmenes: 1
• Idioma: Inglés