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Probability and Statistics for Engineering and the Sciences 6th edition

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Jay L. Devore
Publisher: Brooks/Cole

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Table of Contents

  • Chapter 1: Overview and Descriptive Statistics
    • 1.1: Populations, Samples, and Processes (4)
    • 1.2: Pictorial and Tabular Methods in Descriptive Statistics (10)
    • 1.3: Measures of Location (7)
    • 1.4: Measures of Variability (9)
    • 1: Supplementary Exercises

  • Chapter 2: Probability
    • 2.1: Sample Spaces and Events (6)
    • 2.2: Axioms, Interpretations, and Properties of Probability (11)
    • 2.3: Counting Techniques (7)
    • 2.4: Conditional Probability (9)
    • 2.5: Independence (7)
    • 2: Supplementary Exercises

  • Chapter 3: Discrete Random Variables and Probability
    • 3.1: Random Variable (5)
    • 3.2: Probability Distributions of Discrete Random Variables (9)
    • 3.3: Expected Values of Discrete Random Variables (7)
    • 3.4: The Binomial Probability Distribution (6)
    • 3.5: Hypergeometric and Negative Binomial Distributions (1)
    • 3.6: The Poisson Probability Distribution (8)
    • 3: Supplementary Exercises

  • Chapter 4: Continuous Random Variables and Probability Distributions
    • 4.1: Continuous Random Variables and Probability Density Functions (7)
    • 4.2: Cumulative Distribution Functions and Expected Values (8)
    • 4.3: The Normal Distribution (10)
    • 4.4: The Gamma Distribution and Its Relatives (5)
    • 4.5: Other Continuous Distributions (2)
    • 4.6: Probability Plots (2)
    • 4: Supplementary Exercises (1)

  • Chapter 5: Joint Probability Distributions and Random Samples
    • 5.1: Jointly Distributed Random Variables (11)
    • 5.2: Expected Values, Covariance, and Correlation (6)
    • 5.3: Statistics and Their Distributions (7)
    • 5.4: The Distribution of the Sample Mean (8)
    • 5.5: The Distribution of a Linear Combination (1)
    • 5: Supplementary Exercises

  • Chapter 6: Point Estimation
    • 6.1: Some General Concepts of Point Estimation (10)
    • 6.2: Methods of Point Estimation (7)
    • 6: Supplementary Exercises

  • Chapter 7: Statistical Intervals Based on a Single Sample
    • 7.1: Basic Properties of Confidence Intervals (4)
    • 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (9)
    • 7.3: Intervals Based on a Normal Population Distribution (12)
    • 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (2)
    • 7: Supplementary Exercises (1)

  • Chapter 8: Tests of Hypotheses Based on a Single Sample
    • 8.1: Hypotheses and Test Procedures (6)
    • 8.2: Tests About a Population Mean (10)
    • 8.3: Tests Concerning a Population Proportion (6)
    • 8.4: P-Values (5)
    • 8.5: Some Comments on Selecting a Test Procedure
    • 8: Supplementary Exercises

  • Chapter 9: Inferences Based on Two Samples
    • 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (6)
    • 9.2: The Two-Sample t Test and Confidence Interval (3)
    • 9.3: Analysis of Paired Data (3)
    • 9.4: Inferences Concerning a Difference Between Population Proportions (3)
    • 9.5: Inferences Concerning Two Population Variances
    • 9: Supplementary Exercises

  • Chapter 10: The Analysis of Variance
    • 10.1: Single-Factor ANOVA (6)
    • 10.2: Multiple Comparisons in ANOVA (7)
    • 10.3: More on Single-Factor ANOVA (4)
    • 10: Supplementary Exercises

  • Chapter 11: Multifactor Analysis of Variance
    • 11.1: Two-Factor ANOVA with K=1
    • 11.2: Two-Factor ANOVA with K>1
    • 11.3: Three-Factor ANOVA
    • 11.4: 2 Factorial Experiments
    • 11: Supplementary Exercises

  • Chapter 12: Simple Linear Regression and Correlation
    • 12.1: The Simple Linear Regression Model (2)
    • 12.2: Estimating Model Parameters (6)
    • 12.3: Inferences About the Slope Parameter B (5)
    • 12.4: Inferences Concerning and the Prediction of Future Y Values (5)
    • 12.5: Correlation (2)
    • 12: Supplementary Exercises

  • Chapter 13: Nonlinear and Multiple Regression
    • 13.1: Aptness of the Model and Model Checking (3)
    • 13.2: Regression with Transformed Variables
    • 13.3: Polynomial Regression
    • 13.4: Multiple Regression Analysis (3)
    • 13.5: Other Issues in Multiple Regression
    • 13: Supplementary Exercises

  • Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
    • 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (4)
    • 14.2: Goodness-of-Fit Tests for Composite Hypotheses
    • 14.3: Two-Way Contingency Tables (2)
    • 14: Supplementary Exercises

  • Chapter 15: Distribution-Free Procedures
    • 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

  • Chapter 16: Quality Control Methods
    • 16.1: General Comments on Control Charts
    • 16.2: Contol 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

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 Problem


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Group Quantity Questions
Chapter 1: Overview and Descriptive Statistics
P 30 002 004 006 008 010 012 014 017 018 019 020 022 026 028 033 034 035 036 038 039 041 044 045 046 048 050 054 056 058 060
Chapter 2: Probability
P 40 001 002 003 004 006 008 012 014 016 018 019 020 021 022 026 027 028 030 032 033 034 038 039 042 045 047 048 050 056 060 061 062 063 069 072 074 075 078 080 084
Chapter 3: Discrete Random Variables and Probability
P 36 001 004 006 006.alt 008 012 013 016 016.alt 017 018 020 022 023 028 028.alt 031 034 035 035.alt 038 046 048 050 051 061 062 068 075 076 078 080 082 084 085 088
Chapter 4: Continuous Random Variables and Probability Distributions
P 35 001 002 003 004 006 006.alt 007 011 012 013 014 015 015.alt 022 022.alt 026 027 030 031 034 036 037 038 042 050 057 059 060 061 063 067 075 083 088 104
Chapter 5: Joint Probability Distributions and Random Samples
P 33 001 002 003 005 006 006.alt 009 010 015 018 019 022 026 028 029 030 031 037 037.alt 038 039 039.alt 040 042 046 047 049 050 050.alt 051 054 054.alt 066
Chapter 6: Point Estimation
P 17 001 002 003 004 006 007 008 009 010 014 020 022 024 025 026 029 030
Chapter 7: Statistical Intervals Based on a Single Sample
P 28 002 004 004.alt 006 012 014 016 018 019 019.alt 020 023 024 028 030 032 033 033.alt 034 034.alt 035 035.alt 037 038 038.alt 045 045.alt 050
Chapter 8: Tests of Hypotheses Based on a Single Sample
P 27 004 006 006.alt 008 010 012 016 018 020 022 022.alt 025 025.alt 026 026.alt 030 035 036 036.alt 037 037.alt 038 045 046 049 051 056
Chapter 9: Inferences Based on Two Samples
P 15 002 006 006.alt 007 008 012 018 022 024 036 040 044 048 050 051
Chapter 10: The Analysis of Variance
P 17 001 002 003 004 006 008 011 011.alt 015 016 018 018.alt 019 022 022and23 023 027
Chapter 11: Multifactor Analysis of Variance
11 0  
Chapter 12: Simple Linear Regression and Correlation
P 20 002 011 016 018 019 020 021 024 030 032 034 035 036 046 046.alt 047 050 054 057 058
Chapter 13: Nonlinear and Multiple Regression
P 6 004 006 007 036 038 039
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
P 6 004 007 008 009 031 032
Chapter 15: Distribution-Free Procedures
15 0  
Chapter 16: Quality Control Methods
16 0  
Total 310  
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