Probability and Statistics for Engineering and the Sciences 9th edition

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• Chapter 1: Overview and Descriptive Statistics
  • 1: Concept Explorations
  • 1: Precalculus Review
  • 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
  • 1: Supplementary Exercises
  • 1: R Activities
  • 1: Active Examples
  • 1: JMP Simulations
  • 1: Concept Questions
  • 1: Labs
  • 1: Test Bank
  • 1: Labs
  • 1: Test Bank
  
  
• Chapter 2: Probability
  • 2: Concept Explorations
  • 2: Precalculus Review
  • 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
  • 2: Supplementary Exercises
  • 2: R Activities
  • 2: Active Examples
  • 2: Concept Questions
  • 2: Labs
  
  
• Chapter 3: Discrete Random Variables and Probability Distributions
  • 3: Concept Explorations
  • 3: Precalculus Review
  • 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
  • 3: Supplementary Exercises
  • 3: R Activities
  • 3: Active Examples
  • 3: Concept Questions
  • 3: Labs
  • 3: Test Bank
  • 3: Labs
  • 3: Test Bank
  
  
• Chapter 4: Continuous Random Variables and Probability Distributions
  • 4: Concept Explorations
  • 4: Precalculus and Calculus Review
  • 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
  • 4: Supplementary Exercises
  • 4: R Activities
  • 4: Active Examples
  • 4: JMP Simulations
  • 4: Concept Questions
  • 4: Labs
  • 4: Test Bank
  • 4: Labs
  • 4: Test Bank
  
  
• Chapter 5: Joint Probability Distributions and Random Samples
  • 5: Concept Explorations
  • 5: Calculus Review
  • 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
  • 5: Supplementary Exercises
  • 5: Active Examples
  • 5: JMP Simulations
  • 5: Concept Questions
  • 5: Test Bank
  
  
• Chapter 6: Point Estimation
  • 6: Concept Explorations
  • 6: Precalculus and Calculus Review
  • 6.1: Some General Concepts of Point Estimation
  • 6.2: Methods of Point Estimation
  • 6: Supplementary Exercises
  • 6: R Activities
  • 6: Active Examples
  • 6: Concept Questions
  
  
• Chapter 7: Statistical Intervals Based on a Single Sample
  • 7: Concept Explorations
  • 7: Precalculus Review
  • 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
  • 7: Supplementary Exercises
  • 7: R Activities
  • 7: Active Examples
  • 7: JMP Simulations
  • 7: Concept Questions
  • 7: Labs
  • 7: Test Bank
  • 7: Labs
  • 7: Test Bank
  
  
• Chapter 8: Tests of Hypotheses Based on a Single Sample
  • 8: Concept Explorations
  • 8: Precalculus Review
  • 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
  • 8: Supplementary Exercises
  • 8: R Activities
  • 8: Active Examples
  • 8: JMP Simulations
  • 8: Concept Questions
  • 8: Labs
  • 8: Test Bank
  • 8: Labs
  • 8: Test Bank
  
  
• Chapter 9: Inferences Based on Two Samples
  • 9: Concept Explorations
  • 9: Precalculus Review
  • 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
  • 9: Supplementary Exercises
  • 9: R Activities
  • 9: Active Examples
  • 9: JMP Simulations
  • 9: Concept Questions
  • 9: Labs
  • 9: Test Bank
  • 9: Labs
  • 9: Test Bank
  
  
• Chapter 10: The Analysis of Variance
  • 10: Concept Explorations
  • 10: Precalculus Review
  • 10.1: Single-Factor ANOVA
  • 10.2: Multiple Comparisons in ANOVA
  • 10.3: More on Single-Factor ANOVA
  • 10: Supplementary Exercises
  • 10: R Activities
  • 10: Active Examples
  • 10: JMP Simulations
  • 10: Concept Questions
  • 10: Test Bank
  
  
• Chapter 11: Multifactor Analysis of Variance
  • 11: Concept Explorations
  • 11: Precalculus Review
  • 11.1: Two-Factor ANOVA with K_ij = 1
  • 11.2: Two-Factor ANOVA with K_ij > 1
  • 11.3: Three-Factor ANOVA
  • 11.4: 2^p Factorial Experiments
  • 11: Supplementary Exercises
  • 12: R Activities
  • 11: Active Examples
  • 11: JMP Simulations
  • 11: Concept Questions
  • 11: Labs
  • 11: Test Bank
  
  
• Chapter 12: Simple Linear Regression and Correlation
  • 12: Concept Explorations
  • 12: Precalculus Review
  • 12.1: The Simple Linear Regression Model
  • 12.2: Estimating Model Parameters
  • 12.3: Inferences About the Slope Parameter β₁
  • 12.4: Inferences Concerning μ_{Y · X^*} and the Prediction of Future Y Values
  • 12.5: Correlation
  • 12: Supplementary Exercises
  • 12: R Activities
  • 12: Active Examples
  • 12: JMP Simulations
  • 12: Concept Questions
  • 12: Labs
  • 12: Test Bank
  • 12: Test Bank
  
  
• Chapter 13: Nonlinear and Multiple Regression
  • 13: Concept Explorations
  • 13: Precalculus and Calculus Review
  • 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
  • 13: Supplementary Exercises
  • 13: R Activities
  • 13: Active Examples
  • 13: Concept Questions
  • 13: Test Bank
  
  
• Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
  • 14: Concept Explorations
  • 14: Precalculus and Calculus Review
  • 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
  • 14: Supplementary Exercises
  • 14: R Activities
  • 14: Active Examples
  • 14: JMP Simulations
  • 14: Concept Questions
  • 14: Labs
  • 14: Test Bank
  
  
• Chapter 15: Distribution-Free Procedures
  • 15: Concept Explorations
  • 15: Precalculus Review
  • 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
  • 15: Supplementary Exercises
  • 15: R Activities
  • 15: Active Examples
  • 15: Concept Questions
  • 15: Labs
  • 15: Test Bank
  
  
• Chapter 16: Quality Control Methods
  • 16: Concept Explorations
  • 16: Precalculus Review
  • 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
  • 16: Supplementary Exercises
  • 16: Active Examples
  • 16: Concept Questions
  • 16: Labs
  
  
• Chapter PJT: Project
  • PJT.1: Project