InhaltsangabeChapter 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 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 IMR Chart 7.9 The XbarR Chart 7.10 The Xbar-S Chart 7.11 SPC Exercise 7.12 The IMRR/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 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 11.7 Help on the Web 11.8 Help on the Web and Datasets 11.9 Datasets Index

InhaltsangabeAcknowledgements ix 1 Introduction 1 2 Minitab Navigation 6 2.1 Windows 6 2.2 Dropdown Menus 8 2.3 Importing Data 13 2.4 Column Formats 15 2.5 The Calculator 18 2.6 Basic Graphs 20 2.7 Adding Detail to Graphs 25 2.8 Saving Graphs 27 2.9 Dotplots 28 2.10 Using the Brush 32 2.11 Boxplots 34 2.12 Bar Charts 40 2.13 The Layout Tool 42 2.14 Producing Graphs with the Assistant 44 2.15 Producing Reports 46 2.16 Creating a New Project/Worksheet Button 49 3 Basic Statistics 50 3.1 Types of Data 50 3.2 Central Location 50 3.3 Dispersion 51 3.4 Descriptive Statistics 52 3.5 Inferential Statistics 59 3.6 Confidence Intervals 60 3.7 Normal Distribution 62 3.8 Deviations from Normality 63 3.9 Central Limit Theorem 70 4 Hypothesis Testing 71 4.1 The Problem Statement 72 4.2 Null and Alternate Hypotheses 72 4.3 Establishing the Risks 73 4.4 Power and Sample Size 76 4.5 Conducting the Test and Evaluating the Results 80 4.6 One Sample t Test 81 4.7 Paired t Test 105 4.8 Two Variance Test 118 4.9 Two Sample t Test 130 5 Analysis of Variance 150 5.1 How ANOVA Works 150 5.2 One Way ANOVA (Classic) 152 5.3 One Way ANOVA with the Assistant 164 5.4 ANOVA General Linear Model 192 6 Measurement System Analysis 209 6.1 The Importance of Measurement Systems 209 6.2 How Measurement Systems Affect Data 209 6.3 Analysing the Appropriate Systems 210 6.4 Types of Measurement Systems Error 211 6.5 Measurement Systems Toolbox 213 6.6 Type 1 Gage Study 214 6.7 Gage Repeatability and Reproducibility Studies 217 6.8 Create Gage R&R Study Worksheet 219 6.9 Gage R&R (Crossed) 221 6.10 Gage R&R Crossed Studies 221 6.11 Gage R&R (Crossed) Study 222 6.12 Gage R&R (Nested) 247 6.13 Gage Bias and Linearity Study 255 7 Statistical Process Control 261 7.1 The Origins of Statistical Process Control 261 7.2 Common Cause and Special Cause Variation 262 7.3 Detection Rules for Special Causes 263 7.4 False Alarms 266 7.5 When Should We Use SPC Charts? 267 7.6 Subgrouping 268 7.7 The Appropriate Chart 268 7.8 The IMR Chart 269 7.9 The XbarR Chart 291 7.10 The Xbar-S Chart 299 7.11 SPC Exercise 307 7.12 The IMRR/S Chart 310 8 Process Capability 313 8.1 The Basics of Process Capability 313 8.2 Short Term and Overall Capability 318 8.3 Capability Analysis for Normal Data 319 8.4 Capability Analysis for Non Normal Data 329 8.5 Capability Comparison using the Assistant 340 9 Correlation and Regression 344 9.1 What are Correlation and Regression? 344 9.2 Correlation 346 9.3 Multiple Correlations 349 9.4 Introduction to Regression 354 9.5 Single Predictor Regression 355 9.6 Introduction to Multiple Predictor Regression 372 9.7 Multiple Predictor Regression 373 9.8 Predictor Selection Procedure 396 9.9 Nonlinear Regression 400 10 Design of Experiment 407 10.1 Why Use Design of Experiment? 407 10.2 Types of DOE 407 10.3 DOE Terminology 408 10.4 Two Level Factorial Designs 412 10.5 Fractional Factorial Designs 439 11 Help 456 11.1 Help Overview 456 11.2 Help! Help! 457 11.3 Tutorials 461 11.4 StatGuide 463 11.5 Methods and Formulas 464 11.6 Meet Minitab 466 11.7 Help on the Web 466 11.8 Help on the Web and Datasets 468 11.9 Datasets 469 Index 471

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