Edition |
2nd ed. |
Physical description |
xvi, 504 pages : illustrations ; 26 cm |
Bibliography |
Includes bibliographical references (pages 493-497) and index. |
Contents |
1 Introduction 1 -- 1.1 Quality and Quality Improvement 2 -- 1.2 Six Sigma Quality Improvement 3 -- 1.3 Six Sigma Roadmap and DMAIC 6 -- 1.4 Role of Statistical Methods in Six Sigma 8 -- 1.5 Minitab and its Role in the Implementation of Statistical Methods 10 -- 1.6 Exercises and Follow-Up Activities 11 -- 2 Data Display, Summary and Manipulation 13 -- 2.1 Run Chart - a First Minitab Session 13 -- 2.2 Display and Summary of Univariate Data 27 -- 2.3 Data Input, Output, Manipulation and Management 43 -- 2.4 Exercises and Follow-Up Activities 61 -- 3 Exploratory Data Analysis, Display and Summary of Multivariate Data 63 -- 3.1 Exploratory Data Analysis 63 -- 3.2 Display and Summary of Bivariate and Multivariate Data 72 -- 3.3 Other Displays 84 -- 3.4 Exercises and Follow-Up Activities 90 -- 4 Statistical Models 93 -- 4.1 Fundamentals of Probability 93 -- 4.2 Probability Distributions for Counts and Measurements 99 -- 4.3 Distribution of Means and Proportions 118 -- 4.4 Multivariate Normal Distribution 127 -- 4.5 Statistical Models Applied to Acceptance Sampling 129 -- 4.6 Exercises and Follow-Up Activities 134 -- 5 Control Charts 141 -- 5.1 Shewhart Charts for Measurement Data 141 -- 5.2 Shewhart Charts for Attribute Data 160 -- 5.3 Time-Weighted Control Charts 171 -- 5.4 Process Adjustment 186 -- 5.5 Multivariate Control Charts 193 -- 5.6 Exercises and Follow-Up Activities 194 -- 6 Process Capability Analysis 203 -- 6.1 Process Capability 203 -- 6.2 Exercises and Follow-Up Activities 222 -- 7 Process Experimentation with a Single Factor 225 -- 7.1 Fundamentals of Hypothesis Testing 226 -- 7.2 Tests and Confidence Intervals for the Comparison of Means and Proportions with a Standard 234 -- 7.3 Tests and Confidence Intervals for the Comparison of Two Means or Two Proportions 252 -- 7.4 Analysis of Paired Data - t-Tests and Sign Tests 261 -- 7.5 Experiments with a Single Factor Having More Than Two Levels 264 -- 7.6 Blocking in Single-Factor Experiments 283 -- 7.7 Experiments with a Single Factor, with More Than Two Levels, where the Response is a Proportion 291 -- 7.8 Tests for Equality of Variances 294 -- 7.9 Exercises and Follow-Up Activities 296 -- 8 Process Experimentation with Two or More Factors 303 -- 8.1 General Factorial Experiments 304 -- 8.2 Full Factorial Experiments in the 2<sup>k</sup> Series 326 -- 8.3 Fractional Factorial Experiments in the 2<sup>k-p</sup> Series 357 -- 8.4 Taguchi Experimental Designs 366 -- 8.5 Exercises and Follow-Up Activities 379 -- 9 Evaluation of Measurement Processes 391 -- 9.1 Measurement Process Concepts 391 -- 9.2 Gauge Repeatability and Reproducibility Studies 399 -- 9.3 Comparison of Measurement Systems 406 -- 9.4 Attribute Scenarios 408 -- 9.5 Exercises and Follow-Up Activities 412 -- 10 Regression and Model Building 413 -- 10.1 Regression with a Single Predictor Variable 413 -- 10.2 Multiple Regression 426 -- 10.3 Response Surface Methods 431 -- 10.4 Categorical Data and Logistic Regression 436 -- 10.5 Exercises and Follow-Up Activities 450 -- 11 Learning More and Further Minitab 459 -- 11.1 Learning More about Minitab and Obtaining Help 459 -- 11.2 Macros 476 -- 11.3 Further Features of Minitab 479 -- 11.4 Quality Companion 480 -- 11.5 Postscript 481. |
Subject |
Minitab.
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Process control.
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Six sigma (Quality control standard)
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ISBN |
9780470741757 (hardback) |
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0470741759 (hardback) |
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9780470741740 (paperback) |
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0470741740 (paperback) |
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9781119975335 (ePDF) |
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9781119975328 (oBook) |
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9781119976196 (Mobi) |
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