{"product_id":"applied-statistics-and-probability-for-engineers-isbn-9781119746355","title":"Applied Statistics and Probability for Engineers","description":"\u003cp\u003e\u003cb\u003e\u003ci\u003eApplied Statistics and Probability for Engineers\u003c\/i\u003e \u003c\/b\u003eprovides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The base content, examples, exercises and answers presented in this product have been meticulously checked for accuracy.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eThe Enhanced E-Text is also available bundled with an abridged print companion and can be ordered by contacting customer service \u003ca href=\"https:\/\/hub.wiley.com\/docs\/support\/americas-ordering-by-phone-fax-or-mail-DOC-5516?referrer=support\"\u003ehere\u003c\/a\u003e:\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eISBN: \u003c\/b\u003e\u003cb\u003e9781119456261\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePrice: $97.95\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003cb\u003eCanadian Price: $111.50\u003c\/b\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 \u003c\/b\u003e\u003cb\u003eThe Role of Statistics in Engineering 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Engineering Method and Statistical Thinking 2\u003c\/p\u003e \u003cp\u003e1.1.1 Variability 3\u003c\/p\u003e \u003cp\u003e1.1.2 Populations and Samples 5\u003c\/p\u003e \u003cp\u003e1.2 Collecting Engineering Data 5\u003c\/p\u003e \u003cp\u003e1.2.1 Basic Principles 5\u003c\/p\u003e \u003cp\u003e1.2.2 Retrospective Study 5\u003c\/p\u003e \u003cp\u003e1.2.3 Observational Study 6\u003c\/p\u003e \u003cp\u003e1.2.4 Designed Experiments 6\u003c\/p\u003e \u003cp\u003e1.2.5 Observing Processes Over Time 9\u003c\/p\u003e \u003cp\u003e1.3 Mechanistic and Empirical Models 12\u003c\/p\u003e \u003cp\u003e1.4 Probability and Probability Models 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 \u003c\/b\u003e\u003cb\u003eProbability 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Sample Spaces and Events 18\u003c\/p\u003e \u003cp\u003e2.1.1 Random Experiments 18\u003c\/p\u003e \u003cp\u003e2.1.2 Sample Spaces 19\u003c\/p\u003e \u003cp\u003e2.1.3 Events 21\u003c\/p\u003e \u003cp\u003e2.2 Counting Techniques 23\u003c\/p\u003e \u003cp\u003e2.3 Interpretations and Axioms of Probability 26\u003c\/p\u003e \u003cp\u003e2.4 Unions of Events and Addition Rules 29\u003c\/p\u003e \u003cp\u003e2.5 Conditional Probability 31\u003c\/p\u003e \u003cp\u003e2.6 Intersections of Events and Multiplication and Total Probability Rules 34\u003c\/p\u003e \u003cp\u003e2.7 Independence 36\u003c\/p\u003e \u003cp\u003e2.8 Bayes’ Theorem 39\u003c\/p\u003e \u003cp\u003e2.9 Random Variables 40\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 \u003c\/b\u003e\u003cb\u003eDiscrete Random Variables and Probability Distributions 42\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Probability Distributions and Probability Mass Functions 43\u003c\/p\u003e \u003cp\u003e3.2 Cumulative Distribution Functions 45\u003c\/p\u003e \u003cp\u003e3.3 Mean and Variance of a Discrete Random Variable 47\u003c\/p\u003e \u003cp\u003e3.4 Discrete Uniform Distribution 49\u003c\/p\u003e \u003cp\u003e3.5 Binomial Distribution 51\u003c\/p\u003e \u003cp\u003e3.6 Geometric and Negative Binomial Distributions 55\u003c\/p\u003e \u003cp\u003e3.7 Hypergeometric Distribution 59\u003c\/p\u003e \u003cp\u003e3.8 Poisson Distribution 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 \u003c\/b\u003e\u003cb\u003eContinuous Random Variables and Probability Distributions 66\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Probability Distributions and Probability Density Functions 67\u003c\/p\u003e \u003cp\u003e4.2 Cumulative Distribution Functions 70\u003c\/p\u003e \u003cp\u003e4.3 Mean and Variance of a Continuous Random Variable 71\u003c\/p\u003e \u003cp\u003e4.4 Continuous Uniform Distribution 72\u003c\/p\u003e \u003cp\u003e4.5 Normal Distribution 73\u003c\/p\u003e \u003cp\u003e4.6 Normal Approximation to the Binomial and Poisson Distributions 79\u003c\/p\u003e \u003cp\u003e4.7 Exponential Distribution 83\u003c\/p\u003e \u003cp\u003e4.8 Erlang and Gamma Distributions 86\u003c\/p\u003e \u003cp\u003e4.9 Weibull Distribution 89\u003c\/p\u003e \u003cp\u003e4.10 Lognormal Distribution 90\u003c\/p\u003e \u003cp\u003e4.11 Beta Distribution 92\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 \u003c\/b\u003e\u003cb\u003eJoint Probability Distributions 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Joint Probability Distributions for Two Random Variables 96\u003c\/p\u003e \u003cp\u003e5.2 Conditional Probability Distributions and Independence 102\u003c\/p\u003e \u003cp\u003e5.3 Joint Probability Distributions for More Than Two Random Variables 107\u003c\/p\u003e \u003cp\u003e5.4 Covariance and Correlation 110\u003c\/p\u003e \u003cp\u003e5.5 Common Joint Distributions 113\u003c\/p\u003e \u003cp\u003e5.5.1 Multinomial Probability Distribution 113\u003c\/p\u003e \u003cp\u003e5.5.2 Bivariate Normal Distribution 115\u003c\/p\u003e \u003cp\u003e5.6 Linear Functions of Random Variables 117\u003c\/p\u003e \u003cp\u003e5.7 General Functions of Random Variables 120\u003c\/p\u003e \u003cp\u003e5.8 Moment-Generating Functions 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 \u003c\/b\u003e\u003cb\u003eDescriptive Statistics 126\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Numerical Summaries of Data 127\u003c\/p\u003e \u003cp\u003e6.2 Stem-and-Leaf Diagrams 131\u003c\/p\u003e \u003cp\u003e6.3 Frequency Distributions and Histograms 135\u003c\/p\u003e \u003cp\u003e6.4 Box Plots 139\u003c\/p\u003e \u003cp\u003e6.5 Time Sequence Plots 140\u003c\/p\u003e \u003cp\u003e6.6 Scatter Diagrams 142\u003c\/p\u003e \u003cp\u003e6.7 Probability Plots 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 \u003c\/b\u003e\u003cb\u003ePoint Estimation of Parameters and Sampling Distributions 148\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Point Estimation 149\u003c\/p\u003e \u003cp\u003e7.2 Sampling Distributions and the Central Limit Theorem 150\u003c\/p\u003e \u003cp\u003e7.3 General Concepts of Point Estimation 156\u003c\/p\u003e \u003cp\u003e7.3.1 Unbiased Estimators 156\u003c\/p\u003e \u003cp\u003e7.3.2 Variance of a Point Estimator 157\u003c\/p\u003e \u003cp\u003e7.3.3 Standard Error: Reporting a Point Estimate 158\u003c\/p\u003e \u003cp\u003e7.3.4 Bootstrap Standard Error 159\u003c\/p\u003e \u003cp\u003e7.3.5 Mean Squared Error of an Estimator 160\u003c\/p\u003e \u003cp\u003e7.4 Methods of Point Estimation 161\u003c\/p\u003e \u003cp\u003e7.4.1 Method of Moments 162\u003c\/p\u003e \u003cp\u003e7.4.2 Method of Maximum Likelihood 163\u003c\/p\u003e \u003cp\u003e7.4.3 Bayesian Estimation of Parameters 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 \u003c\/b\u003e\u003cb\u003eStatistical Intervals for a Single Sample 170\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Confidence Interval on the Mean of a Normal Distribution, Variance Known 172\u003c\/p\u003e \u003cp\u003e8.1.1 Development of the Confidence Interval and Its Basic Properties 172\u003c\/p\u003e \u003cp\u003e8.1.2 Choice of Sample Size 175\u003c\/p\u003e \u003cp\u003e8.1.3 One-Sided Confidence Bounds 176\u003c\/p\u003e \u003cp\u003e8.1.4 General Method to Derive a Confidence Interval 176\u003c\/p\u003e \u003cp\u003e8.1.5 Large-Sample Confidence Interval for μ 177\u003c\/p\u003e \u003cp\u003e8.2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown 179\u003c\/p\u003e \u003cp\u003e8.2.1 \u003ci\u003et \u003c\/i\u003eDistribution 180\u003c\/p\u003e \u003cp\u003e8.2.2 \u003ci\u003et \u003c\/i\u003eConfidence Interval on μ 181\u003c\/p\u003e \u003cp\u003e8.3 Confidence Interval on the Variance and Standard Deviation of a Normal Distribution 182\u003c\/p\u003e \u003cp\u003e8.4 Large-Sample Confidence Interval for a Population Proportion 185\u003c\/p\u003e \u003cp\u003e8.5 Guidelines for Constructing Confidence Intervals 188\u003c\/p\u003e \u003cp\u003e8.6 Bootstrap Confidence Interval 189\u003c\/p\u003e \u003cp\u003e8.7 Tolerance and Prediction Intervals 189\u003c\/p\u003e \u003cp\u003e8.7.1 Prediction Interval for a Future Observation 189\u003c\/p\u003e \u003cp\u003e8.7.2 Tolerance Interval for a Normal Distribution 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 \u003c\/b\u003e\u003cb\u003eTests of Hypotheses for a Single Sample 193\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Hypothesis Testing 194\u003c\/p\u003e \u003cp\u003e9.1.1 Statistical Hypotheses 194\u003c\/p\u003e \u003cp\u003e9.1.2 Tests of Statistical Hypotheses 196\u003c\/p\u003e \u003cp\u003e9.1.3 One-Sided and Two-Sided Hypotheses 202\u003c\/p\u003e \u003cp\u003e9.1.4 \u003ci\u003eP\u003c\/i\u003e-Values in Hypothesis Tests 203\u003c\/p\u003e \u003cp\u003e9.1.5 Connection between Hypothesis Tests and Confidence Intervals 206\u003c\/p\u003e \u003cp\u003e9.1.6 General Procedure for Hypothesis Tests 206\u003c\/p\u003e \u003cp\u003e9.2 Tests on the Mean of a Normal Distribution, Variance Known 208\u003c\/p\u003e \u003cp\u003e9.2.1 Hypothesis Tests on the Mean 208\u003c\/p\u003e \u003cp\u003e9.2.2 Type II Error and Choice of Sample Size 211\u003c\/p\u003e \u003cp\u003e9.2.3 Large-Sample Test 215\u003c\/p\u003e \u003cp\u003e9.3 Tests on the Mean of a Normal Distribution, Variance Unknown 215\u003c\/p\u003e \u003cp\u003e9.3.1 Hypothesis Tests on the Mean 215\u003c\/p\u003e \u003cp\u003e9.3.2 Type II Error and Choice of Sample Size 220\u003c\/p\u003e \u003cp\u003e9.4 Tests on the Variance and Standard Deviation of a Normal Distribution 222\u003c\/p\u003e \u003cp\u003e9.4.1 Hypothesis Tests on the Variance 222\u003c\/p\u003e \u003cp\u003e9.4.2 Type II Error and Choice of Sample Size 224\u003c\/p\u003e \u003cp\u003e9.5 Tests on a Population Proportion 225\u003c\/p\u003e \u003cp\u003e9.5.1 Large-Sample Tests on a Proportion 225\u003c\/p\u003e \u003cp\u003e9.5.2 Type II Error and Choice of Sample Size 227\u003c\/p\u003e \u003cp\u003e9.6 Summary Table of Inference Procedures for a Single Sample 229\u003c\/p\u003e \u003cp\u003e9.7 Testing for Goodness of Fit 229\u003c\/p\u003e \u003cp\u003e9.8 Contingency Table Tests 232\u003c\/p\u003e \u003cp\u003e9.9 Nonparametric Procedures 234\u003c\/p\u003e \u003cp\u003e9.9.1 The Sign Test 235\u003c\/p\u003e \u003cp\u003e9.9.2 The Wilcoxon Signed-Rank Test 239\u003c\/p\u003e \u003cp\u003e9.9.3 Comparison to the \u003ci\u003et\u003c\/i\u003e-Test 240\u003c\/p\u003e \u003cp\u003e9.10 Equivalence Testing 240\u003c\/p\u003e \u003cp\u003e9.11 Combining \u003ci\u003eP\u003c\/i\u003e-Values 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 \u003c\/b\u003e\u003cb\u003eStatistical Inference for Two Samples 244\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Inference on the Difference in Means of Two Normal Distributions, Variances Known 245\u003c\/p\u003e \u003cp\u003e10.1.1 Hypothesis Tests on the Difference in Means, Variances Known 247\u003c\/p\u003e \u003cp\u003e10.1.2 Type II Error and Choice of Sample Size 249\u003c\/p\u003e \u003cp\u003e10.1.3 Confidence Interval on the Difference in Means, Variances Known 251\u003c\/p\u003e \u003cp\u003e10.2 Inference on the Difference in Means of Two Normal Distributions, Variances Unknown 253\u003c\/p\u003e \u003cp\u003e10.2.1 Hypotheses Tests on the Difference in Means, Variances Unknown 253\u003c\/p\u003e \u003cp\u003e10.2.2 Type II Error and Choice of Sample Size 259\u003c\/p\u003e \u003cp\u003e10.2.3 Confidence Interval on the Difference in Means, Variances Unknown 260\u003c\/p\u003e \u003cp\u003e10.3 A Nonparametric Test for the Difference in Two Means 261\u003c\/p\u003e \u003cp\u003e10.3.1 Description of the Wilcoxon Rank-Sum Test 262\u003c\/p\u003e \u003cp\u003e10.3.2 Large-Sample Approximation 263\u003c\/p\u003e \u003cp\u003e10.3.3 Comparison to the \u003ci\u003et\u003c\/i\u003e-Test 264\u003c\/p\u003e \u003cp\u003e10.4 Paired \u003ci\u003et\u003c\/i\u003e-Test 264\u003c\/p\u003e \u003cp\u003e10.5 Inference on the Variances of Two Normal Distributions 268\u003c\/p\u003e \u003cp\u003e10.5.1 \u003ci\u003eF \u003c\/i\u003eDistribution 268\u003c\/p\u003e \u003cp\u003e10.5.2 Hypothesis Tests on the Equity of Two Variances 270\u003c\/p\u003e \u003cp\u003e10.5.3 Type II Error and Choice of Sample Size 272\u003c\/p\u003e \u003cp\u003e10.5.4 Confidence Interval on the Ratio of Two Variances 273\u003c\/p\u003e \u003cp\u003e10.6 Inference on Two Population Proportions 273\u003c\/p\u003e \u003cp\u003e10.6.1 Large-Sample Tests on the Difference in Population Proportions 274\u003c\/p\u003e \u003cp\u003e10.6.2 Type II Error and Choice of Sample Size 276\u003c\/p\u003e \u003cp\u003e10.6.3 Confidence Interval on the Difference in Population Proportions 277\u003c\/p\u003e \u003cp\u003e10.7 Summary Table and Road Map for Inference Procedures for Two Samples 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 \u003c\/b\u003e\u003cb\u003eSimple Linear Regression and Correlation 280\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Empirical Models 281\u003c\/p\u003e \u003cp\u003e11.2 Simple Linear Regression 284\u003c\/p\u003e \u003cp\u003e11.3 Properties of the Least Squares Estimators 288\u003c\/p\u003e \u003cp\u003e11.4 Hypothesis Tests in Simple Linear Regression 288\u003c\/p\u003e \u003cp\u003e11.4.1 Use of \u003ci\u003et\u003c\/i\u003e-Tests 289\u003c\/p\u003e \u003cp\u003e11.4.2 Analysis of Variance Approach to Test Significance of Regression 291\u003c\/p\u003e \u003cp\u003e11.5 Confidence Intervals 292\u003c\/p\u003e \u003cp\u003e11.5.1 Confidence Intervals on the Slope and Intercept 292\u003c\/p\u003e \u003cp\u003e11.5.2 Confidence Interval on the Mean Response 293\u003c\/p\u003e \u003cp\u003e11.6 Prediction of New Observations 295\u003c\/p\u003e \u003cp\u003e11.7 Adequacy of the Regression Model 296\u003c\/p\u003e \u003cp\u003e11.7.1 Residual Analysis 296\u003c\/p\u003e \u003cp\u003e11.7.2 Coefficient of Determination (\u003ci\u003eR\u003c\/i\u003e\u003csup\u003e2\u003c\/sup\u003e) 298\u003c\/p\u003e \u003cp\u003e11.8 Correlation 299\u003c\/p\u003e \u003cp\u003e11.9 Regression on Transformed Variables 303\u003c\/p\u003e \u003cp\u003e11.10 Logistic Regression 305\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 \u003c\/b\u003e\u003cb\u003eMultiple Linear Regression 310\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Multiple Linear Regression Model 311\u003c\/p\u003e \u003cp\u003e12.1.1 Introduction 311\u003c\/p\u003e \u003cp\u003e12.1.2 Least Squares Estimation of the Parameters 314\u003c\/p\u003e \u003cp\u003e12.1.3 Matrix Approach to Multiple Linear Regression 316\u003c\/p\u003e \u003cp\u003e12.1.4 Properties of the Least Squares Estimators 321\u003c\/p\u003e \u003cp\u003e12.2 Hypothesis Tests in Multiple Linear Regression 322\u003c\/p\u003e \u003cp\u003e12.2.1 Test for Significance of Regression 322\u003c\/p\u003e \u003cp\u003e12.2.2 Tests on Individual Regression Coefficients and Subsets of Coefficients 325\u003c\/p\u003e \u003cp\u003e12.3 Confidence Intervals in Multiple Linear Regression 329\u003c\/p\u003e \u003cp\u003e12.3.1 Confidence Intervals on Individual Regression Coefficients 329\u003c\/p\u003e \u003cp\u003e12.3.2 Confidence Interval on the Mean Response 330\u003c\/p\u003e \u003cp\u003e12.4 Prediction of New Observations 331\u003c\/p\u003e \u003cp\u003e12.5 Model Adequacy Checking 333\u003c\/p\u003e \u003cp\u003e12.5.1 Residual Analysis 333\u003c\/p\u003e \u003cp\u003e12.5.2 Influential Observations 335\u003c\/p\u003e \u003cp\u003e12.6 Aspects of Multiple Regression Modeling 337\u003c\/p\u003e \u003cp\u003e12.6.1 Polynomial Regression Models 337\u003c\/p\u003e \u003cp\u003e12.6.2 Categorical Regressors and Indicator Variables 339\u003c\/p\u003e \u003cp\u003e12.6.3 Selection of Variables and Model Building 341\u003c\/p\u003e \u003cp\u003e12.6.4 Multicollinearity 349\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 \u003c\/b\u003e\u003cb\u003eDesign and Analysis of Single-Factor Experiments: The Analysis of Variance 351\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Designing Engineering Experiments 352\u003c\/p\u003e \u003cp\u003e13.2 Completely Randomized Single-Factor Experiment 353\u003c\/p\u003e \u003cp\u003e13.2.1 Example: Tensile Strength 353\u003c\/p\u003e \u003cp\u003e13.2.2 Analysis of Variance 354\u003c\/p\u003e \u003cp\u003e13.2.3 Multiple Comparisons Following the ANOVA 359\u003c\/p\u003e \u003cp\u003e13.2.4 Residual Analysis and Model Checking 361\u003c\/p\u003e \u003cp\u003e13.2.5 Determining Sample Size 363\u003c\/p\u003e \u003cp\u003e13.3 The Random-Effects Model 365\u003c\/p\u003e \u003cp\u003e13.3.1 Fixed Versus Random Factors 365\u003c\/p\u003e \u003cp\u003e13.3.2 ANOVA and Variance Components 365\u003c\/p\u003e \u003cp\u003e13.4 Randomized Complete Block Design 368\u003c\/p\u003e \u003cp\u003e13.4.1 Design and Statistical Analysis 368\u003c\/p\u003e \u003cp\u003e13.4.2 Multiple Comparisons 372\u003c\/p\u003e \u003cp\u003e13.4.3 Residual Analysis and Model Checking 373\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 \u003c\/b\u003e\u003cb\u003eDesign of Experiments with Several Factors 375\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 376\u003c\/p\u003e \u003cp\u003e14.2 Factorial Experiments 378\u003c\/p\u003e \u003cp\u003e14.3 Two-Factor Factorial Experiments 382\u003c\/p\u003e \u003cp\u003e14.3.1 Statistical Analysis 382\u003c\/p\u003e \u003cp\u003e14.3.2 Model Adequacy Checking 386\u003c\/p\u003e \u003cp\u003e14.3.3 One Observation per Cell 387\u003c\/p\u003e \u003cp\u003e14.4 General Factorial Experiments 388\u003c\/p\u003e \u003cp\u003e14.5 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eFactorial Designs 390\u003c\/p\u003e \u003cp\u003e14.5.1 2\u003csup\u003e2\u003c\/sup\u003e Design 390\u003c\/p\u003e \u003cp\u003e14.5.2 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign for \u003ci\u003ek \u003c\/i\u003e≥ 3 Factors 396\u003c\/p\u003e \u003cp\u003e14.6 Single Replicate of the 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign 402\u003c\/p\u003e \u003cp\u003e14.7 Addition of Center Points to a 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign 405\u003c\/p\u003e \u003cp\u003e14.8 Blocking and Confounding in the 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign 408\u003c\/p\u003e \u003cp\u003e14.9 One-Half Fraction of the 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign 413\u003c\/p\u003e \u003cp\u003e14.10 Smaller Fractions: The 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e\u003c\/i\u003e\u003csup\u003e−\u003ci\u003ep \u003c\/i\u003e\u003c\/sup\u003eFractional Factorial 418\u003c\/p\u003e \u003cp\u003e14.11 Response Surface Methods and Designs 425\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 \u003c\/b\u003e\u003cb\u003eStatistical Quality Control 434\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Quality Improvement and Statistics 435\u003c\/p\u003e \u003cp\u003e15.1.1 Statistical Quality Control 436\u003c\/p\u003e \u003cp\u003e15.1.2 Statistical Process Control 436\u003c\/p\u003e \u003cp\u003e15.2 Introduction to Control Charts 436\u003c\/p\u003e \u003cp\u003e15.2.1 Basic Principles 436\u003c\/p\u003e \u003cp\u003e15.2.2 Design of a Control Chart 440\u003c\/p\u003e \u003cp\u003e15.2.3 Rational Subgroups 441\u003c\/p\u003e \u003cp\u003e15.2.4 Analysis of Patterns on Control Charts 442\u003c\/p\u003e \u003cp\u003e15.3 \u003ci\u003eX \u003c\/i\u003eand \u003ci\u003eR \u003c\/i\u003eor \u003ci\u003eS \u003c\/i\u003eControl Charts 444\u003c\/p\u003e \u003cp\u003e15.4 Control Charts for Individual Measurements 450\u003c\/p\u003e \u003cp\u003e15.5 Process Capability 452\u003c\/p\u003e \u003cp\u003e15.6 Attribute Control Charts 456\u003c\/p\u003e \u003cp\u003e15.6.1 \u003ci\u003eP \u003c\/i\u003eChart (Control Chart for Proportions) 456\u003c\/p\u003e \u003cp\u003e15.6.2 \u003ci\u003eU \u003c\/i\u003eChart (Control Chart for Defects per Unit) 458\u003c\/p\u003e \u003cp\u003e15.7 Control Chart Performance 460\u003c\/p\u003e \u003cp\u003e15.8 Time-Weighted Charts 462\u003c\/p\u003e \u003cp\u003e15.8.1 Exponentially Weighted Moving-Average Control Chart 462\u003c\/p\u003e \u003cp\u003e15.8.2 Cumulative Sum Control Chart 465\u003c\/p\u003e \u003cp\u003e15.9 Other SPC Problem-Solving Tools 471\u003c\/p\u003e \u003cp\u003e15.10 Decision Theory 473\u003c\/p\u003e \u003cp\u003e15.10.1 Decision Models 473\u003c\/p\u003e \u003cp\u003e15.10.2 Decision Criteria 474\u003c\/p\u003e \u003cp\u003e15.11 Implementing SPC 476\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix A \u003c\/b\u003e\u003cb\u003eStatistical Tables and Charts A-3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTable I Summary of Common Probability Distributions A-4\u003c\/p\u003e \u003cp\u003eTable II Cumulative Binomial Probabilities \u003ci\u003eP\u003c\/i\u003e(\u003ci\u003eX \u003c\/i\u003e≤ \u003ci\u003ex\u003c\/i\u003e) A-5\u003c\/p\u003e \u003cp\u003eTable III Cumulative Standard Normal Distribution A-8\u003c\/p\u003e \u003cp\u003eTable IV Percentage Points χ\u003csup\u003e2\u003c\/sup\u003e\u003csub\u003eα\u003ci\u003e,v \u003c\/i\u003e\u003c\/sub\u003eof the Chi-Squared Distribution A-10\u003c\/p\u003e \u003cp\u003eTable V Percentage Points \u003ci\u003et\u003c\/i\u003e\u003csub\u003eα\u003ci\u003e,v \u003c\/i\u003e\u003c\/sub\u003eof the \u003ci\u003et \u003c\/i\u003eDistribution A-11\u003c\/p\u003e \u003cp\u003eTable VI Percentage Points \u003ci\u003ef\u003c\/i\u003e\u003csub\u003eα\u003ci\u003e,v\u003c\/i\u003e1\u003ci\u003e,v\u003c\/i\u003e2 \u003c\/sub\u003eof the \u003ci\u003eF \u003c\/i\u003eDistribution A-12\u003c\/p\u003e \u003cp\u003eChart VII Operating Characteristic Curves A-17\u003c\/p\u003e \u003cp\u003eTable VIII Critical Values for the Sign Test A-26\u003c\/p\u003e \u003cp\u003eTable IX Critical Values for the Wilcoxon Signed-Rank Test A-26\u003c\/p\u003e \u003cp\u003eTable X Critical Values for the Wilcoxon Rank-Sum Test A-27\u003c\/p\u003e \u003cp\u003eTable XI Factors for Constructing Variables Control Charts A-28\u003c\/p\u003e \u003cp\u003eTable XII Factors for Tolerance Intervals A-29\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix B \u003c\/b\u003e\u003cb\u003eBibliography A-31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix C \u003c\/b\u003e\u003cb\u003eSummary of Confidence Intervals and Hypothesis Testing Equations for One and Two Sample Applications A-33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGlossary G-1\u003c\/p\u003e \u003cp\u003eExercises P-1\u003c\/p\u003e \u003cp\u003eIndex I-1\u003c\/p\u003e \u003cb\u003eDouglas C. Montgomery\u003c\/b\u003e, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial \u0026amp; Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award (twice) from the ASQ.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988754022629,"sku":"NP9781119746355","price":111.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119746355.jpg?v=1761781458","url":"https:\/\/k12savings.com\/products\/applied-statistics-and-probability-for-engineers-isbn-9781119746355","provider":"K12savings","version":"1.0","type":"link"}