Problem solving and data analysis using Minitab : a clear and easy guide to six sigma methodology / / Rehman M. Khan

• Record Nr.: UNINA9910817051503321
• Autore: Khan Rehman M
• Pubbl/distr/stampa: Chichester, West Sussex, U.K., : Wiley, 2013
• ISBN: 9781118307502; 111830750X; 9781299188686; 1299188680; 9781118307533; 1118307534; 9781118307526; 1118307526
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (485 p.)
• Classificazione: MAT029000
• Disciplina: 658.4/013028553
• Soggetti: Mathematical statistics - Data processing; Problem solving - Statistical methods; Six sigma (Quality control standard)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Cover; Title Page; Copyright; Contents; Acknowledgements; Chapter 1 Introduction; Chapter 2 Minitab Navigation; 2.1 Windows; 2.2 Dropdown Menus; 2.3 Importing Data; 2.4 Column Formats; 2.5 The Calculator; 2.6 Basic Graphs; 2.7 Adding Detail to Graphs; 2.8 Saving Graphs; 2.9 Dotplots; 2.10 Using the Brush; 2.11 Boxplots; 2.12 Bar Charts; 2.13 The Layout Tool; 2.14 Producing Graphs with the Assistant; 2.15 Producing Reports; 2.16 Creating a New Project/Worksheet Button; Chapter 3 Basic Statistics; 3.1 Types of Data; 3.2 Central Location; 3.3 Dispersion; 3.4 Descriptive Statistics; 3.5 Inferential Statistics 3.6 Confidence Intervals; 3.7 Normal Distribution; 3.8 Deviations from Normality; 3.9 Central Limit Theorem; Chapter 4 Hypothesis Testing; 4.1 The Problem Statement; 4.2 Null and Alternate Hypotheses; 4.3 Establishing the Risks; 4.4 Power and Sample Size; 4.5 Conducting the Test and Evaluating the Results; 4.6 One ; Sample t Test; 4.7 Paired t Test; 4.8 Two Variance Test; 4.9 Two Sample t Test; Chapter 5 Analysis of Variance; 5.1 How ANOVA Works; 5.2 One Way ANOVA (Classic); 5.3 One Way ANOVA with the Assistant; 5.4 ANOVA General Linear Model; Chapter 6 Measurement System Analysis 6.1 The Importance of Measurement Systems; 6.2 How Measurement Systems Affect Data; 6.3 Analysing the Appropriate Systems; 6.4 Types of Measurement Systems Error; 6.5 Measurement Systems Toolbox; 6.6 Type 1 Gage Study; 6.7 Gage Repeatability and Reproducibility Studies; 6.8 Create Gage R&R Study Worksheet; 6.9 Gage R&R (Crossed); 6.10 Gage R&R Crossed Studies; 6.11 Gage R&R (Crossed) Study; 6.12 Gage R&R (Nested); 6.13 Gage Bias and Linearity Study; Chapter 7 Statistical Process Control; 7.1 The Origins of Statistical Process Control; 7.2 Common Cause and Special Cause Variation 7.3 Detection Rules for Special Causes; 7.4 False Alarms; 7.5 When Should We Use SPC Charts?; 7.6 Subgrouping; 7.7 The Appropriate Chart; 7.8 The I-MR Chart; 7.9 The Xbar-R Chart; 7.10 The Xbar-S Chart; 7.11 SPC Exercise; 7.12 The I-MR-R/S Chart; Chapter 8 Process Capability; 8.1 The Basics of Process Capability; 8.2 Short Term and Overall Capability; 8.3 Capability Analysis for Normal Data; 8.4 Capability Analysis for Non Normal Data; 8.5 Capability Comparison using the Assistant; Chapter 9 Correlation and Regression; 9.1 What are Correlation and Regression? 9.2 Correlation; 9.3 Multiple Correlations; 9.4 Introduction to Regression; 9.5 Single Predictor Regression; 9.6 Introduction to Multiple Predictor Regression; 9.7 Multiple Predictor Regression; 9.8 Predictor Selection Procedure; 9.9 Nonlinear Regression; Chapter 10 Design of Experiment; 10.1 Why Use Design of Experiment?; 10.2 Types of DOE; 10.3 DOE Terminology; 10.4 Two Level Factorial Designs; 10.5 Fractional Factorial Designs; Chapter 11 Help; 11.1 Help Overview; 11.2 Help! Help!; 11.3 Tutorials; 11.4 StatGuide; 11.5 Methods and Formulas; 11.6 Meet Minitab
• Sommario/riassunto: "Problem Solving and Data Analysis using Minitab presents example based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving"--