Test Bank For Probability and Statistics for Engineering and the Sciences 8th Edition by Jay L. Devore Chapter 1_16

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Test Bank For Probability and Statistics for Engineering and the Sciences 8th Edition by Jay L. Devore Contents 1 Overview and Descriptive Statistics Introduction 1 1.1 Populations, Samples, and ... Processes 2 1.2 Pictorial and Tabular Methods in Descriptive Statistics 12 1.3 Measures of Location 28 1.4 Measures of Variability 35 Supplementary Exercises 46 Bibliography 49 2 Probability Introduction 50 2.1 Sample Spaces and Events 51 2.2 Axioms, Interpretations, and Properties of Probability 55 2.3 Counting Techniques 64 2.4 Conditional Probability 73 2.5 Independence 83 Supplementary Exercises 88 Bibliography 91 Introduction 92 3.1 Random Variables 93 3.2 Probability Distributions for Discrete Random Variables 96 3.3 Expected Values 106 3.4 The Binomial Probability Distribution 114 3.5 Hypergeometric and Negative Binomial Distributions 122 3.6 The Poisson Probability Distribution 128 Supplementary Exercises 133 Bibliography 136 3 Discrete Random Variables and Probability Distributions Introduction 137 4.1 Probability Density Functions 138 4.2 Cumulative Distribution Functions and Expected Values 143 4.3 The Normal Distribution 152 4.4 The Exponential and Gamma Distributions 165 4.5 Other Continuous Distributions 171 4.6 Probability Plots 178 Supplementary Exercises 188 Bibliography 192 Introduction 193 5.1 Jointly Distributed Random Variables 194 5.2 Expected Values, Covariance, and Correlation 206 5.3 Statistics and Their Distributions 212 5.4 The Distribution of the Sample Mean 223 5.5 The Distribution of a Linear Combination 230 Supplementary Exercises 235 Bibliography 238 6 Point Estimation 7 Statistical Intervals Based on a Single Sample Introduction 239 6.1 Some General Concepts of Point Estimation 240 6.2 Methods of Point Estimation 255 Supplementary Exercises 265 Bibliography 266 Introduction 267 7.1 Basic Properties of Confidence Intervals 268 7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion 276 4 Continuous Random Variables and Probability Distributions 5 Joint Probability Distributions and Random Samples viii Contents 7.3 Intervals Based on a Normal Population Distribution 285 7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population 294 Supplementary Exercises 297 Bibliography 299 8 Tests of Hypotheses Based on a Single Sample Introduction 300 8.1 Hypotheses and Test Procedures 301 8.2 Tests About a Population Mean 310 8.3 Tests Concerning a Population Proportion 323 8.4 P-Values 328 8.5 Some Comments on Selecting a Test 339 Supplementary Exercises 342 Bibliography 344 9 Inferences Based on Two Samples Introduction 345 9.1 z Tests and Confidence Intervals for a Difference Between Two Population Means 346 9.2 The Two-Sample t Test and Confidence Interval 357 9.3 Analysis of Paired Data 365 9.4 Inferences Concerning a Difference Between Population Proportions 375 9.5 Inferences Concerning Two Population Variances 382 Supplementary Exercises 386 Bibliography 390 10 The Analysis of Variance Introduction 391 10.1 Single-Factor ANOVA 392 10.2 Multiple Comparisons in ANOVA 402 10.3 More on Single-Factor ANOVA 408 Supplementary Exercises 417 Bibliography 418 Contents ix 11 Multifactor Analysis of Variance Introduction 419 11.1 Two-Factor ANOVA with Kij 1 420 11.2 Two-Factor ANOVA with Kij 1 433 11.3 Three-Factor ANOVA 442 11.4 2p Factorial Experiments 451 Supplementary Exercises 464 Bibliography 467 12 Simple Linear Regression and Correlation Introduction 468 12.1 The Simple Linear Regression Model 469 12.2 Estimating Model Parameters 477 12.3 Inferences About the Slope Parameter 1 490 12.4 Inferences Concerning and the Prediction of Future Y Values 499 12.5 Correlation 508 Supplementary Exercises 518 Bibliography 522 mY#x* 13 Nonlinear and Multiple Regression Introduction 523 13.1 Assessing Model Adequacy 524 13.2 Regression with Transformed Variables 531 13.3 Polynomial Regression 543 13.4 Multiple Regression Analysis 553 13.5 Other Issues in Multiple Regression 574 Supplementary Exercises 588 Bibliography 593 14 Goodness-of-Fit Tests and Categorical Data Analysis Introduction 594 14.1 Goodness-of-Fit Tests When Category Probabilities Are Completely Specified 595 x Contents 14.2 Goodness-of-Fit Tests for Composite Hypotheses 602 14.3 Two-Way Contingency Tables 613 Supplementary Exercises 621 Bibliography 624 15 Distribution-Free Procedures Introduction 625 15.1 The Wilcoxon Signed-Rank Test 626 15.2 The Wilcoxon Rank-Sum Test 634 15.3 Distribution-Free Confidence Intervals 640 15.4 Distribution-Free ANOVA 645 Supplementary Exercises 649 Bibliography 650 16 Quality Control Methods Introduction 651 16.1 General Comments on Control Charts 652 16.2 Control Charts for Process Location 654 16.3 Control Charts for Process Variation 663 16.4 Control Charts for Attributes 668 16.5 CUSUM Procedures 672 16.6 Acceptance Sampling 680 Supplementary Exercises 686 Bibliography 687 Appendix Tables A.1 Cumulative Binomial Probabilities A-2 A.2 Cumulative Poisson Probabilities A-4 A.3 Standard Normal Curve Areas A-6 A.4 The Incomplete Gamma Function A-8 A.5 Critical Values for t Distributions A-9 A.6 Tolerance Critical Values for Normal Population Distributions A-10 A.7 Critical Values for Chi-Squared Distributions A-11 A.8 t Curve Tail Areas A-12 A.9 Critical Values for F Distributions A-14 A.10 Critical Values for Studentized Range Distributions A-20 Contents xi A.11 Chi-Squared Curve Tail Areas A-21 A.12 Critical Values for the Ryan-Joiner Test of Normality A-23 A.13 Critical Values for the Wilcoxon Signed-Rank Test A-24 A.14 Critical Values for the Wilcoxon Rank-Sum Test A-25 A.15 Critical Values for the Wilcoxon Signed-Rank Interval A-26 A.16 Critical Values for the Wilcoxon Rank-Sum Interval A-27 A.17 Curves for t Tests A-28 [Show More]

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