Prepare Your Students for Statistical Work in the Real World Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results.
Introduction STATISTICS IN ACTION DDT Contamination of Fish in the Tennessee River Statistics: The Science of Data Fundamental Elements of Statistics Types of Data Collecting Data: Sampling The Role of Statistics in Critical Thinking A Guide to Statistical Methods Presented in This Text STATISTICS IN ACTION REVISITED DDT Contamination of Fish in the Tennessee River-Identifying the Data Collection Method, Population, Sample, and Types of Data Descriptive Statistics STATISTICS IN ACTION Characteristics of Contaminated Fish in the Tennessee River, Alabama Graphical and Numerical Methods for Describing Qualitative Data Graphical Methods for Describing Quantitative Data Numerical Methods for Describing Quantitative Data Measures of Central Tendency Measures of Variation Measures of Relative Standing Methods for Detecting Outliers Distorting the Truth with Descriptive Statistics STATISTICS IN ACTION REVISITED Characteristics of Contaminated Fish in the Tennessee River, Alabama Probability STATISTICS IN ACTION Assessing Predictors of Software Defects in NASA Spacecraft Instrument Code The Role of Probability in Statistics Events, Sample Spaces, and Probability Compound Events Complementary Events Conditional Probability Probability Rules for Unions and Intersections Bayes Rule (Optional) Some Counting Rules Probability and Statistics: An Example STATISTICS IN ACTION REVISITED Assessing Predictors of Software Defects in NASA Spacecraft Instrument Code Discrete Random Variables STATISTICS IN ACTION The Reliability of a "One-Shot" Device Discrete Random Variables The Probability Distribution for a Discrete Random Variable Expected Values for Random Variables Some Useful Expectation Theorems Bernoulli Trials The Binomial Probability Distribution The Multinomial Probability Distribution The Negative Binomial and the Geometric Probability Distributions The Hypergeometric Probability Distribution The Poisson Probability Distribution Moments and Moment Generating Functions (Optional) STATISTICS IN ACTION REVISITED The Reliability of a "One-Shot" Device Continuous Random Variables STATISTICS IN ACTION Super Weapons Development-Optimizing the Hit Ratio Continuous Random Variables The Density Function for a Continuous Random Variable Expected Values for Continuous Random Variables The Uniform Probability Distribution The Normal Probability Distribution Descriptive Methods for Assessing Normality Gamma-Type Probability Distributions The Weibull Probability Distribution Beta-Type Probability Distributions Moments and Moment Generating Functions (Optional) STATISTICS IN ACTION REVISTED Super Weapons Development-Optimizing the Hit Ratio Bivariate Probability Distributions and Sampling Distributions STATISTICS IN ACTION Availability of an Up/Down Maintained System Bivariate Probability Distributions for Discrete Random Variables Bivariate Probability Distributions for Continuous Random Variables The Expected Value of Functions of Two Random Variables Independence The Covariance and Correlation of Two Random Variables Probability Distributions and Expected Values of Functions of Random Variables (Optional) Sampling Distributions Approximating a Sampling Distribution by Monte Carlo Simulation The Sampling Distributions of Means and Sums Normal Approximation to the Binomial Distribution Sampling Distributions Related to the Normal Distribution STATISTICS IN ACTION REVISITED Availability of an Up/Down Maintained System Estimation Using Confidence Intervals STATISTICS IN ACTION Bursting Strength of PET Beverage Bottles Point Estimators and their Properties Finding Point Estimators: Classical Methods of Estimation Finding Interval Estimators: The Pivotal Method Estimation of a Population Mean Estimation of the Difference between Two Population Means: Independent Samples Estimation of the Difference between Two Population Means: Matched Pairs Estimation of a Population Proportion Estimation of the Difference between Two Population Proportions Estimation of a Population Variance Estimation of the Ratio of Two Population Variances Choosing the Sample Size Alternative Interval Estimation Methods: Bootstrapping and Bayesian Methods (Optional) STATISTICS IN ACTION REVISITED Bursting Strength of PET Beverage Bottles Tests of Hypotheses STATISTICS IN ACTION Comparing Methods for Dissolving Drug Tablets-Dissolution Method Equivalence Testing The Relationship between Statistical Tests of Hypotheses and Confidence Intervals Elements and Properties of a Statistical Test Finding Statistical Tests: Classical Methods Choosing the Null and Alternative Hypotheses The Observed Significance Level for a Test Testing a Population Mean Testing the Difference between Two Population Means: Independent Samples Testing the Difference between Two Population Means: Matched Pairs Testing a Population Proportion Testing the Difference between Two Population Proportions Testing a Population Variance Testing the Ratio of Two Population Variances Alternative Testing Procedures: Bootstrapping and Bayesian Methods (Optional) STATISTICS IN ACTION REVISITED Comparing Methods for Dissolving Drug Tablets-Dissolution Method Equivalence Testing Categorical Data Analysis STATISTICS IN ACTION The Case of the Ghoulish Transplant Tissue-Who Is Responsible for Paying Damages? Categorical Data and Multinomial Probabilities Estimating Category Probabilities in a One-Way Table Testing Category Probabilities in a One-Way Table Inferences about Category Probabilities in a Two-Way (Contingency) Table Contingency Tables with Fixed Marginal Totals Exact Tests for Independence in a Contingency Table Analysis (Optional) STATISTICS IN ACTION REVISITED The Case of the Ghoulish Transplant Tissue Simple Linear Regression STATISTICS IN ACTION Can Dowsers Really Detect Water? Regression Models Model Assumptions Estimating ss0 and ss1: The Method of Least Squares Properties of the Least-Squares Estimators An Estimator of sigma2 Assessing the Utility of the Model: Making Inferences about the Slope The Coefficients of Correlation and Determination Using the Model for Estimation and Prediction Checking the Assumptions: Residual Analysis A Complete Example A Summary of the Steps to Follow in Simple Linear Regression STATISTICS IN ACTION REVISITED Can Dowsers Really Detect Water? Multiple Regression Analysis STATISTICS IN ACTION Bid-Rigging in the Highway Construction Industry General Form of a Multiple Regression Model Model Assumptions Fitting the Model: The Method of Least Squares Computations Using Matrix Algebra: Estimating and Making Inferences about the Individual Parameters Assessing Overall Model Adequacy A Confidence Interval for and a Prediction Interval for a Future Value of y A First-Order Model with Quantitative Predictors An Interaction Model with Quantitative Predictors A Quadratic (Second-Order) Model with a Quantitative Predictor Regression Residuals and Outliers Some Pitfalls: Estimability, Multicollinearity, and Extrapolation A Summary of the Steps to Follow in a Multiple Regression Analysis STATISTICS IN ACTION REVISITED Building a Model for Road Construction Costs in a Sealed Bid Market Model Building STATISTICS IN ACTION Deregulation of the Intrastate Trucking Industry Introduction: Why Model Building Is Important The Two Types of Independent Variables: Quantitative and Qualitative Models with a Single Quantitative Independent Variable Models with Two or More Quantitative Independent Variables Coding Quantitative Independent Variables (Optional) Models with One Qualitative Independent Variable Models with Both Quantitative and Qualitative Independent Variables Tests for Comparing Nested Models External Model Validation (Optional) Stepwise Regression STATISTICS IN ACTION REVISITED Deregulation in the Intrastate Trucking Industry Principles of Experimental Design STATISTICS IN ACTION Anti-Corrosive Behavior of Epoxy Coatings Augmented with Zinc Introduction Experimental Design Terminology Controlling the Information in an Experiment Noise-Reducing Designs Volume-Increasing Designs Selecting the Sample Size The Importance of Randomization STATISTICS IN ACTION REVISITED Anti-Corrosive Behavior of Epoxy Coatings Augmented with Zinc The Analysis of Variance for Designed Experiments STATISTICS IN ACTION Pollutants at a Housing Development-A Case of Mishandling Small Samples Introduction The Logic behind an Analysis of Variance One-Factor Completely Randomized Designs Randomized Block Designs Two-Factor Factorial Experiments More Complex Factorial Designs (Optional) Nested Sampling Designs (Optional) Multiple Comparisons of Treatment Means Checking ANOVA Assumptions STATISTICS IN ACTION REVISTED Pollutants at a Housing Development-A Case of Mishandling Small Samples Nonparametric Statistics STATISTICS IN ACTION How Vulnerable Are New Hampshire Wells to Groundwater Contamination? Introduction: Distribution-Free Tests Testing for Location of a Single Population Comparing Two Populations: Independent Random Samples Comparing Two Populations: Matched-Pairs Design Comparing Three or More Populations: Completely Randomized Design Comparing Three or More Populations: Randomized Block Design Nonparametric Regression STATISTICS IN ACTION REVISITED How Vulnerable Are New Hampshire Wells to Groundwater Contamination? Statistical Process and Quality Control STATISTICS IN ACTION Testing Jet Fuel Additive for Safety Total Quality Management Variable Control Charts Control Chart for Means: x-Chart Control Chart for Process Variation: R-Chart Detecting Trends in a Control Chart: Runs Analysis Control Chart for Percent Defectives: p-Chart Control Chart for the Number of Defects per Item: c-Chart Tolerance Limits Capability Analysis (Optional) Acceptance Sampling for Defectives Other Sampling Plans (Optional) Evolutionary Operations (Optional) STATISTICS IN ACTION REVISITED Testing Jet Fuel Additive for Safety Product and System Reliability STATISTICS IN ACTION Modeling the Hazard Rate of Reinforced Concrete Bridge Deck Deterioration Introduction Failure Time Distributions Hazard Rates Life Testing: Censored Sampling Estimating the Parameters of an Exponential Failure Time Distribution Estimating the Parameters of a Weibull Failure Time Distribution System Reliability STATISTICS IN ACTION REVISITED Modeling the Hazard Rate of Reinforced Concrete Bridge Deck Deterioration Appendix A: Matrix Algebra Appendix B: Useful Statistical Tables Appendix C: SAS for Windows Tutorial Appendix D: MINITAB for Windows Tutorial Appendix E: SPSS for Windows Tutorial