LEADER 04941nam 2200625 a 450 001 9910141507803321 005 20200520144314.0 010 $a1-118-30750-X 010 $a1-299-18868-0 010 $a1-118-30753-4 010 $a1-118-30752-6 035 $a(CKB)2670000000327514 035 $a(EBL)1119801 035 $a(OCoLC)827208012 035 $a(MiAaPQ)EBC1119801 035 $a(DLC) 2012048634 035 $a(Au-PeEL)EBL1119801 035 $a(CaPaEBR)ebr10657930 035 $a(CaONFJC)MIL450118 035 $a(PPN)192205021 035 $a(EXLCZ)992670000000327514 100 $a20121130d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aProblem solving and data analysis using Minitab$b[electronic resource] $ea clear and easy guide to six sigma methodology /$fRehman M. Khan 210 $aChichester, West Sussex, U.K. $cWiley$d2013 215 $a1 online resource (485 p.) 300 $aIncludes index. 311 $a1-118-30757-7 327 $aCover; 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 327 $a3.5 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 327 $aChapter 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 327 $a7.2 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 327 $a9.1 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! 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