Probability and Statistics for Engineering and the Sciences 10th edition

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Leif Ellingson and Anna Panorska
Publisher: Cengage Learning

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  • Ellingson Probability and Statistics for Engineering and the Sciences 10e

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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: 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: Labs
    • 2: Test Bank

  • 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, Geometric, and Negative Binomial Distributions
    • 3.6: The Poisson Probability Distribution
    • 3: Supplementary Exercises
    • 3: R Activities
    • 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: 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: 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: Test Bank

  • 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: 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: 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: 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: Test Bank

  • Chapter 11: Multifactor Analysis of Variance
    • 11: Concept Explorations
    • 11: Precalculus Review
    • 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
    • 11: Supplementary Exercises
    • 12: R Activities
    • 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 μY · X* and the Prediction of Future Y Values
    • 12.5: Correlation
    • 12: Supplementary Exercises
    • 12: R Activities
    • 12: Labs
    • 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: 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: 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: 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: Labs
    • 16: Test Bank

  • Chapter PJT: Project
    • PJT.1: Project

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Group Quantity Questions
Chapter 1: Overview and Descriptive Statistics
1 0  
Chapter 2: Probability
2 0  
Chapter 3: Discrete Random Variables and Probability Distributions
3 0  
Chapter 4: Continuous Random Variables and Probability Distributions
4 0  
Chapter 5: Joint Probability Distributions and Random Samples
5 0  
Chapter 6: Point Estimation
6 0  
Chapter 7: Statistical Intervals Based on a Single Sample
7 0  
Chapter 8: Tests of Hypotheses Based on a Single Sample
8 0  
Chapter 9: Inferences Based on Two Samples
9 0  
Chapter 10: The Analysis of Variance
10 0  
Chapter 11: Multifactor Analysis of Variance
11 0  
Chapter 12: Simple Linear Regression and Correlation
12 0  
Chapter 13: Nonlinear and Multiple Regression
13 0  
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
14 0  
Chapter 15: Distribution-Free Procedures
15 0  
Chapter 16: Quality Control Methods
16 0  
Total 0