{"product_id":"problem-solving-and-data-analysis-using-minitab-isbn-9781118307571","title":"Problem Solving and Data Analysis Using Minitab","description":"\u003cp\u003e\u003cb\u003eProblem Solving and Data Analysis Using Minitab\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA clear and easy guide to six Sigma methodology\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSix Sigma statistical methodology using Minitab\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eProblem Solving and Data Analysis using Minitab\u003c\/i\u003e presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey features:\u003c\/b\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15.\u003c\/li\u003e \u003cli\u003eIncludes fully worked examples with graphics showing menu selections and Minitab outputs.\u003c\/li\u003e \u003cli\u003eUses example based learning that the reader can work through at their own pace.\u003c\/li\u003e \u003cli\u003eContains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results.\u003c\/li\u003e \u003cli\u003ePresents the core statistical techniques used by Six Sigma Black Belts.\u003c\/li\u003e \u003cli\u003eContains examples, exercises and solutions throughout, and is supported by an accompanying website \u003cb\u003ewww.wiley.com\/go\/six_sigma_methodology\u003c\/b\u003e featuring the numerous example data sets.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eMaking Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum. \u003c\/p\u003e\u003cp\u003eAcknowledgements ix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Minitab Navigation 6\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Windows 6\u003c\/p\u003e \u003cp\u003e2.2 Dropdown Menus 8\u003c\/p\u003e \u003cp\u003e2.3 Importing Data 13\u003c\/p\u003e \u003cp\u003e2.4 Column Formats 15\u003c\/p\u003e \u003cp\u003e2.5 The Calculator 18\u003c\/p\u003e \u003cp\u003e2.6 Basic Graphs 20\u003c\/p\u003e \u003cp\u003e2.7 Adding Detail to Graphs 25\u003c\/p\u003e \u003cp\u003e2.8 Saving Graphs 27\u003c\/p\u003e \u003cp\u003e2.9 Dotplots 28\u003c\/p\u003e \u003cp\u003e2.10 Using the Brush 32\u003c\/p\u003e \u003cp\u003e2.11 Boxplots 34\u003c\/p\u003e \u003cp\u003e2.12 Bar Charts 40\u003c\/p\u003e \u003cp\u003e2.13 The Layout Tool 42\u003c\/p\u003e \u003cp\u003e2.14 Producing Graphs with the Assistant 44\u003c\/p\u003e \u003cp\u003e2.15 Producing Reports 46\u003c\/p\u003e \u003cp\u003e2.16 Creating a New Project\/Worksheet Button 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Basic Statistics 50\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Types of Data 50\u003c\/p\u003e \u003cp\u003e3.2 Central Location 50\u003c\/p\u003e \u003cp\u003e3.3 Dispersion 51\u003c\/p\u003e \u003cp\u003e3.4 Descriptive Statistics 52\u003c\/p\u003e \u003cp\u003e3.5 Inferential Statistics 59\u003c\/p\u003e \u003cp\u003e3.6 Confidence Intervals 60\u003c\/p\u003e \u003cp\u003e3.7 Normal Distribution 62\u003c\/p\u003e \u003cp\u003e3.8 Deviations from Normality 63\u003c\/p\u003e \u003cp\u003e3.9 Central Limit Theorem 70\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Hypothesis Testing 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 The Problem Statement 72\u003c\/p\u003e \u003cp\u003e4.2 Null and Alternate Hypotheses 72\u003c\/p\u003e \u003cp\u003e4.3 Establishing the Risks 73\u003c\/p\u003e \u003cp\u003e4.4 Power and Sample Size 76\u003c\/p\u003e \u003cp\u003e4.5 Conducting the Test and Evaluating the Results 80\u003c\/p\u003e \u003cp\u003e4.6 One Sample t Test 81\u003c\/p\u003e \u003cp\u003e4.7 Paired t Test 105\u003c\/p\u003e \u003cp\u003e4.8 Two Variance Test 118\u003c\/p\u003e \u003cp\u003e4.9 Two Sample t Test 130\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Analysis of Variance 150\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 How ANOVA Works 150\u003c\/p\u003e \u003cp\u003e5.2 One Way ANOVA (Classic) 152\u003c\/p\u003e \u003cp\u003e5.3 One Way ANOVA with the Assistant 164\u003c\/p\u003e \u003cp\u003e5.4 ANOVA General Linear Model 192\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Measurement System Analysis 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 The Importance of Measurement Systems 209\u003c\/p\u003e \u003cp\u003e6.2 How Measurement Systems Affect Data 209\u003c\/p\u003e \u003cp\u003e6.3 Analysing the Appropriate Systems 210\u003c\/p\u003e \u003cp\u003e6.4 Types of Measurement Systems Error 211\u003c\/p\u003e \u003cp\u003e6.5 Measurement Systems Toolbox 213\u003c\/p\u003e \u003cp\u003e6.6 Type 1 Gage Study 214\u003c\/p\u003e \u003cp\u003e6.7 Gage Repeatability and Reproducibility Studies 217\u003c\/p\u003e \u003cp\u003e6.8 Create Gage R\u0026amp;R Study Worksheet 219\u003c\/p\u003e \u003cp\u003e6.9 Gage R\u0026amp;R (Crossed) 221\u003c\/p\u003e \u003cp\u003e6.10 Gage R\u0026amp;R Crossed Studies 221\u003c\/p\u003e \u003cp\u003e6.11 Gage R\u0026amp;R (Crossed) Study 222\u003c\/p\u003e \u003cp\u003e6.12 Gage R\u0026amp;R (Nested) 247\u003c\/p\u003e \u003cp\u003e6.13 Gage Bias and Linearity Study 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Statistical Process Control 261\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 The Origins of Statistical Process Control 261\u003c\/p\u003e \u003cp\u003e7.2 Common Cause and Special Cause Variation 262\u003c\/p\u003e \u003cp\u003e7.3 Detection Rules for Special Causes 263\u003c\/p\u003e \u003cp\u003e7.4 False Alarms 266\u003c\/p\u003e \u003cp\u003e7.5 When Should We Use SPC Charts? 267\u003c\/p\u003e \u003cp\u003e7.6 Subgrouping 268\u003c\/p\u003e \u003cp\u003e7.7 The Appropriate Chart 268\u003c\/p\u003e \u003cp\u003e7.8 The I-MR Chart 269\u003c\/p\u003e \u003cp\u003e7.9 The Xbar-R Chart 291\u003c\/p\u003e \u003cp\u003e7.10 The Xbar-S Chart 299\u003c\/p\u003e \u003cp\u003e7.11 SPC Exercise 307\u003c\/p\u003e \u003cp\u003e7.12 The I-MR-R\/S Chart 310\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Process Capability 313\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Basics of Process Capability 313\u003c\/p\u003e \u003cp\u003e8.2 Short Term and Overall Capability 318\u003c\/p\u003e \u003cp\u003e8.3 Capability Analysis for Normal Data 319\u003c\/p\u003e \u003cp\u003e8.4 Capability Analysis for Non Normal Data 329\u003c\/p\u003e \u003cp\u003e8.5 Capability Comparison using the Assistant 340\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Correlation and Regression 344\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 What are Correlation and Regression? 344\u003c\/p\u003e \u003cp\u003e9.2 Correlation 346\u003c\/p\u003e \u003cp\u003e9.3 Multiple Correlations 349\u003c\/p\u003e \u003cp\u003e9.4 Introduction to Regression 354\u003c\/p\u003e \u003cp\u003e9.5 Single Predictor Regression 355\u003c\/p\u003e \u003cp\u003e9.6 Introduction to Multiple Predictor Regression 372\u003c\/p\u003e \u003cp\u003e9.7 Multiple Predictor Regression 373\u003c\/p\u003e \u003cp\u003e9.8 Predictor Selection Procedure 396\u003c\/p\u003e \u003cp\u003e9.9 Nonlinear Regression 400\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Design of Experiment 407\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Why Use Design of Experiment? 407\u003c\/p\u003e \u003cp\u003e10.2 Types of DOE 407\u003c\/p\u003e \u003cp\u003e10.3 DOE Terminology 408\u003c\/p\u003e \u003cp\u003e10.4 Two Level Factorial Designs 412\u003c\/p\u003e \u003cp\u003e10.5 Fractional Factorial Designs 439\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Help 456\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Help Overview 456\u003c\/p\u003e \u003cp\u003e11.2 Help! Help! 457\u003c\/p\u003e \u003cp\u003e11.3 Tutorials 461\u003c\/p\u003e \u003cp\u003e11.4 StatGuide 463\u003c\/p\u003e \u003cp\u003e11.5 Methods and Formulas 464\u003c\/p\u003e \u003cp\u003e11.6 Meet Minitab 466\u003c\/p\u003e \u003cp\u003e11.7 Help on the Web 466\u003c\/p\u003e \u003cp\u003e11.8 Help on the Web and Datasets 468\u003c\/p\u003e \u003cp\u003e11.9 Datasets 469\u003c\/p\u003e \u003cp\u003eIndex 471\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRehman M. Khan\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eChartered Chemical Engineer and Six Sigma Black Belt, Loughborough, UK\u003c\/i\u003e   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eProblem Solving and Data Analysis Using Minitab\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA clear and easy guide to six Sigma methodology\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSix Sigma statistical methodology using Minitab\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eProblem Solving and Data Analysis using Minitab\u003c\/i\u003e presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey features:\u003c\/b\u003e \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15.\u003c\/li\u003e \u003cli\u003eIncludes fully worked examples with graphics showing menu selections and Minitab outputs.\u003c\/li\u003e \u003cli\u003eUses example based learning that the reader can work through at their own pace.\u003c\/li\u003e \u003cli\u003eContains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results.\u003c\/li\u003e \u003cli\u003ePresents the core statistical techniques used by Six Sigma Black Belts.\u003c\/li\u003e \u003cli\u003eContains examples, exercises and solutions throughout, and is supported by an accompanying website \u003cb\u003ewww.wiley.com\/go\/six_sigma_methodology\u003c\/b\u003e featuring the numerous example data sets.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eMaking Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989858861285,"sku":"NP9781118307571","price":97.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118307571.jpg?v=1761785701","url":"https:\/\/k12savings.com\/products\/problem-solving-and-data-analysis-using-minitab-isbn-9781118307571","provider":"K12savings","version":"1.0","type":"link"}