Probability and Statistics for Engineering and the Sciences

Contents
Preface
Ch 1: Overview and Descriptive Statistics
	Introduction
	1.1 Populations, Samples, and Processes
	1.2 Pictorial and Tabular Methods in Descriptive Statistics
	1.3 Measures of Location
	1.4 Measures of Variability
	Supplementary Exercises
	Bibliography
Ch 2: Probability
	Introduction
	2.1 Sample Spaces and Events
	2.2 Axioms, Interpretations, and Properties of Probability
	2.3 Counting Techniques
	2.4 Conditional Probability
	2.5 Independence
	Supplementary Exercises
	Bibliography
Ch 3: Discrete Random Variables and Probability Distributions
	Introduction
	3.1 Random Variables
	3.2 Probability Distributions for Discrete Random Variables
	3.3 Expected Values
	3.4 The Binomial Probability Distribution
	3.5 Hypergeometric and Negative Binomial Distributions
	3.6 The Poisson Probability Distribution
	Supplementary Exercises
	Bibliography
Ch 4: Continuous Random Variables and Probability Distributions
	Introduction
	4.1 Probability Density Functions
	4.2 Cumulative Distribution Functions and Expected Values
	4.3 The Normal Distribution
	4.4 The Exponential and Gamma Distributions
	4.5 Other Continuous Distributions
	4.6 Probability Plots
	Supplementary Exercises
	Bibliography
Ch 5: Joint Probability Distributions and Random Samples
	Introduction
	5.1 Jointly Distributed Random Variables
	5.2 Expected Values, Covariance, and Correlation
	5.3 Statistics and Their Distributions
	5.4 The Distribution of the Sample Mean
	5.5 The Distribution of a Linear Combination
	Supplementary Exercises
	Bibliography
Ch 6: Point Estimation
	Introduction
	6.1 Some General Concepts of Point Estimation
	6.2 Methods of Point Estimation
	Supplementary Exercises
	Bibliography
Ch 7: Statistical Intervals Based on a Single Sample
	Introduction
	7.1 Basic Properties of Confidence Intervals
	7.2 Large-Sample Confidence Intervals for a Population Mean and Proportion
	7.3 Intervals Based on a Normal Population Distribution
	7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population
	Supplementary Exercises
	Bibliography
Ch 8: Tests of Hypotheses Based on a Single Sample
	Introduction
	8.1 Hypotheses and Test Procedures
	8.2 z Tests for Hypotheses about a Population Mean
	8.3 The One-Sample t Test
	8.4 Tests Concerning a Population Proportion
	8.5 Further Aspects of Hypothesis Testing
	Supplementary Exercises
	Bibliography
Ch 9: Inferences Based on Two Samples
	Introduction
	9.1 z Tests and Confidence Intervals for a Difference between Two Population Means
	9.2 The Two-Sample t Test and Confidence Interval
	9.3 Analysis of Paired Data
	9.4 Inferences Concerning a Difference between Population Proportions
	9.5 Inferences Concerning Two Population Variances
	Supplementary Exercises
	Bibliography
Ch 10: The Analysis of Variance
	Introduction
	10.1 Single-Factor ANOVA
	10.2 Multiple Comparisons in ANOVA
	10.3 More on Single-Factor ANOVA
	Supplementary Exercises
	Bibliography
Ch 11: Multifactor Analysis of Variance
	Introduction
	11.1 Two-Factor ANOVA with Kij = 1
	11.2 Two-Factor ANOVA with Kij > 1
	11.3 Three-Factor ANOVA
	11.4 2p Factorial Experiments
	Supplementary Exercises
	Bibliography
Ch 12: Simple Linear Regression and Correlation
	Introduction
	12.1 The Simple Linear Regression Model
	12.2 Estimating Model Parameters
	12.3 Inferences about the Slope Parameter B1
	12.4 Inferences Concerning uY . x* and the Prediction of Future Y Values
	12.5 Correlation
	Supplementary Exercises
	Bibliography
Ch 13: Nonlinear and Multiple Regression
	Introduction
	13.1 Assessing Model Adequacy
	13.2 Regression with Transformed Variables
	13.3 Polynomial Regression
	13.4 Multiple Regression Analysis
	13.5 Other Issues in Multiple Regression
	Supplementary Exercises
	Bibliography
Ch 14: Goodness-of-Fit Tests and Categorical Data Analysis
	Introduction
	14.1 Goodness-of-Fit Tests When Category Probabilities are Completely Specified
	14.2 Goodness-of-Fit Tests for Composite Hypotheses
	14.3 Two-Way Contingency Tables
	Supplementary Exercises
	Bibliography
Ch 15: Distribution-Free Procedures
	Introduction
	15.1 The Wilcoxon Signed-Rank Test
	15.2 The Wilcoxon Rank-Sum Test
	15.3 Distribution-Free Confidence Intervals
	15.4 Distribution-Free ANOVA
	Supplementary Exercises
	Bibliography
Ch 16: Quality Control Methods
	Introduction
	16.1 General Comments on Control Charts
	16.2 Control Charts for Process Location
	16.3 Control Charts for Process Variation
	16.4 Control Charts for Attributes
	16.5 CUSUM Procedures
	16.6 Acceptance Sampling
	Supplementary Exercises
	Bibliography
Appendix Tables
Answers to Selected Odd-Numbered Exercises
Glossary of Symbols/Abbreviations
Index