Probability and Statistics for Engineering and the Sciences 9th edition

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Jay Devore
Publisher: Cengage Learning

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  • Chapter 1: Overview and Descriptive Statistics
    • 1.1: Populations, Samples, and Processes (8)
    • 1.2: Pictorial and Tabular Methods in Descriptive Statistics (13)
    • 1.3: Measures of Location (9)
    • 1.4: Measures of Variability (11)
    • 1: Supplementary Exercises (9)
    • 1: Active Examples (5)

  • Chapter 2: Probability
    • 2.1: Sample Spaces and Events (8)
    • 2.2: Axioms, Interpretations, and Properties of Probability (14)
    • 2.3: Counting Techniques (10)
    • 2.4: Conditional Probability (14)
    • 2.5: Independence (11)
    • 2: Supplementary Exercises (7)
    • 2: Active Examples (10)

  • Chapter 3: Discrete Random Variables and Probability Distributions
    • 3.1: Random Variables (8)
    • 3.2: Probability Distributions for Discrete Random Variables (13)
    • 3.3: Expected Values (9)
    • 3.4: The Binomial Probability Distribution (12)
    • 3.5: Hypergeometric and Negative Binomial Distributions (9)
    • 3.6: The Poisson Probability Distribution (9)
    • 3: Supplementary Exercises (6)
    • 3: Active Examples (8)

  • Chapter 4: Continuous Random Variables and Probability Distributions
    • 4.1: Probability Density Functions (10)
    • 4.2: Cumulative Distribution Functions and Expected Values (11)
    • 4.3: The Normal Distribution (16)
    • 4.4: The Exponential and Gamma Distributions (9)
    • 4.5: Other Continuous Distributions (10)
    • 4.6: Probability Plots (7)
    • 4: Supplementary Exercises (6)
    • 4: Active Examples (8)

  • Chapter 5: Joint Probability Distributions and Random Samples
    • 5.1: Jointly Distributed Random Variables (16)
    • 5.2: Expected Values, Covariance, and Correlation (13)
    • 5.3: Statistics and Their Distributions (8)
    • 5.4: The Distribution of the Sample Mean (11)
    • 5.5: The Distribution of a Linear Combination (8)
    • 5: Supplementary Exercises (4)
    • 5: Active Examples (9)

  • Chapter 6: Point Estimation
    • 6.1: Some General Concepts of Point Estimation (19)
    • 6.2: Methods of Point Estimation (10)
    • 6: Supplementary Exercises (10)
    • 6: Active Examples (9)

  • Chapter 7: Statistical Intervals Based on a Single Sample
    • 7.1: Basic Properties of Confidence Intervals (9)
    • 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (12)
    • 7.3: Intervals Based on a Normal Population Distribution (10)
    • 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (5)
    • 7: Supplementary Exercises (10)
    • 7: Active Examples (7)

  • Chapter 8: Tests of Hypotheses Based on a Single Sample
    • 8.1: Hypotheses and Test Procedures (10)
    • 8.2: z Tests for Hypotheses about a Population Mean (8)
    • 8.3: The One-Sample t Test (11)
    • 8.4: Tests Concerning a Population Proportion (9)
    • 8.5: Further Aspects of Hypothesis Testing (4)
    • 8: Supplementary Exercises (13)
    • 8: Active Examples (4)

  • Chapter 9: Inferences Based on Two Samples
    • 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (12)
    • 9.2: The Two-Sample t Test and Confidence Interval (13)
    • 9.3: Analysis of Paired Data (10)
    • 9.4: Inferences Concerning a Difference Between Population Proportions (9)
    • 9.5: Inferences Concerning Two Population Variances (6)
    • 9: Supplementary Exercises (8)
    • 9: Active Examples (6)

  • Chapter 10: The Analysis of Variance
    • 10.1: Single-Factor ANOVA (9)
    • 10.2: Multiple Comparisons in ANOVA (9)
    • 10.3: More on Single-Factor ANOVA (12)
    • 10: Supplementary Exercises (5)
    • 10: Active Examples (8)

  • Chapter 11: Multifactor Analysis of Variance
    • 11.1: Two-Factor ANOVA with Kij = 1 (9)
    • 11.2: Two-Factor ANOVA with Kij > 1 (8)
    • 11.3: Three-Factor ANOVA (6)
    • 11.4: 2p Factorial Experiments (7)
    • 11: Supplementary Exercises (15)
    • 11: Active Examples (7)

  • Chapter 12: Simple Linear Regression and Correlation
    • 12.1: The Simple Linear Regression Model (7)
    • 12.2: Estimating Model Parameters (10)
    • 12.3: Inferences About the Slope Parameter β1 (7)
    • 12.4: Inferences Concerning μY · X* (7)
    • 12.5: Correlation (8)
    • 12: Supplementary Exercises (10)
    • 12: Active Examples (7)

  • Chapter 13: Nonlinear and Multiple Regression
    • 13.1: Assessing Model Adequacy (9)
    • 13.2: Regression with Transformed Variables (6)
    • 13.3: Polynomial Regression (8)
    • 13.4: Multiple Regression Analysis (11)
    • 13.5: Other Issues in Multiple Regression (6)
    • 13: Supplementary Exercises (12)
    • 13: Active Examples (7)

  • Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
    • 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (9)
    • 14.2: Goodness-of-Fit Tests for Composite Hypotheses (11)
    • 14.3: Two-Way Contingency Tables (8)
    • 14: Supplementary Exercises (11)
    • 14: Active Examples (10)

  • Chapter 15: Distribution-Free Procedures
    • 15.1: The Wilcoxon Signed-Rank Test (7)
    • 15.2: The Wilcoxon Rank-Sum Test (6)
    • 15.3: Distribution-Free Confidence Intervals (6)
    • 15.4: Distribution-Free ANOVA (5)
    • 15: Supplementary Exercises (14)
    • 15: Active Examples (7)

  • Chapter 16: Quality Control Methods
    • 16.1: General Comments on Control Charts (5)
    • 16.2: Control Charts for Process Location (9)
    • 16.3: Control Charts for Process Variation (5)
    • 16.4: Control Charts for Attributes (8)
    • 16.5: CUSUM Procedures (4)
    • 16.6: Acceptance Sampling (5)
    • 16: Supplementary Exercises (6)
    • 16: Active Examples (9)


Make statistics practical for engineering students in any specialty with Probability and Statistics for Engineering and the Sciences, 9th edition. This calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals put concepts, models, and methodologies to work in today's scientific careers. The WebAssign component for this text engages students with immediate feedback, lecture videos, and an interactive eBook.

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Group Quantity Questions
Chapter 1: Overview and Descriptive Statistics
1.AE 5 004 007 011 013 016
1.E 50 002 003 004 005 006 007 008 009 010 011 012 014 015 016 019 020 021 022 026 030 032 034 035 036 037 038 039 041 042 043 044 045 046 048 049 050 051 052 055 058 060 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 2: Probability
2.AE 10 002 005 010 013 018 020 021 027 031 034
2.E 64 001 002 003 004 006 008 009 010 011 012 014 015 016 018 019 020 021 022 024 026 027 028 029 030 032 034 035 036 038 039 040 042 045 046 048 050 052 054 057 060 061 062 063 064 066 068 071 074 076 077 078 079 080 082 084 086 088 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 3: Discrete Random Variables and Probability Distributions
3.AE 8 003 008 012 017 023 032 036 039
3.E 66 001 002 004 006 007 008 009 010 012 013 014 016 017 018 019 020 021 022 023 024 026 029 030 032 034 035 036 038 039 042 046 048 050 052 054 055 056 060 061 062 065 066 068 069 070 071 072 074 075 076 078 079 080 081 082 085 086 088 089 092 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP
Chapter 4: Continuous Random Variables and Probability Distributions
4.AE 8 003 006 010 014 023 025 028 031
4.E 69 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 018 021 022 024 026 028 029 030 031 032 034 036 038 040 041 042 044 046 050 054 056 059 060 062 063 065 066 067 068 069 072 073 074 076 078 081 083 084 085 086 087 088 090 092 094 096 097 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Chapter 5: Joint Probability Distributions and Random Samples
5.AE 9 007 010 016 022 024 025 027 030 032
5.E 60 001 002 003 005 006 007 008 009 010 012 014 015 017 018 019 020 022 023 024 025 026 028 029 030 031 032 034 035 036 037 038 039 040 041 042 043 044 046 048 049 050 051 052 053 054 055 056 057 058 062 064 066 068 070 072 074 501.XP 502.XP 503.XP 504.XP
Chapter 6: Point Estimation
6.AE 9 001 006 007 010 012 016 017 019 022
6.E 39 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 029 030 031 033 034 035 036 037 502.XP 503.XP 504.XP 505.XP
Chapter 7: Statistical Intervals Based on a Single Sample
7.AE 7 003 004 008 009 012 013 015
7.E 46 001 002 003 004 005 006 008 010 011 012 013 014 015 016 019 020 021 022 024 025 026 028 029 030 031 033 034 035 036 037 038 042 043 044 045 046 050 054 055 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.AE 4 004 007 011 015
8.E 55 002 004 005 006 008 009 010 011 012 014 015 016 018 020 021 022 024 026 029 030 031 032 033 034 035 036 037 038 040 042 043 044 045 046 048 049 050 052 053 054 055 056 062 080 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
Chapter 9: Inferences Based on Two Samples
9.AE 6 001 002 003 006 008 012
9.E 58 001 002 004 005 006 008 010 011 012 013 014 016 017 018 019 020 021 022 024 026 028 029 030 032 033 036 037 038 040 041 042 043 044 045 046 049 050 052 053 054 055 056 057 058 060 061 062 063 064 065 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 10: The Analysis of Variance
10.AE 8 001 002 005 006 007 008 009 011
10.E 35 001 002 003 005 006 007 008 009 010 011 012 013 014 016 017 018 019 020 022 023 024 025 026 027 028 030 031 032 033 034 035 038 039 040 041
Chapter 11: Multifactor Analysis of Variance
11.AE 7 001 003 004 009 011 016 501.XP
11.E 45 002 004 005 006 008 009 012 014 015 016 017 018 021 022 023 024 026 028 030 032 033 034 036 038 039 040 042 044 046 047 051 052 053 054 056 057 058 059 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 12: Simple Linear Regression and Correlation
12.AE 7 001 002 003 006 013 017 018
12.E 49 002 003 006 007 008 009 011 013 014 015 016 018 019 020 021 024 027 031 032 034 035 036 038 042 044 046 047 049 052 054 056 057 058 060 061 062 063 064 067 075 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 13: Nonlinear and Multiple Regression
13.AE 7 001 003 007 012 013 020 024
13.E 52 001 002 004 005 006 007 008 010 012 015 016 017 018 021 024 026 027 028 029 030 031 032 034 036 037 038 039 042 044 045 046 048 051 052 056 058 060 061 062 064 067 072 076 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
14.AE 10 001 002 003 004 005 006 008 009 012 013
14.E 39 001 002 003 004 005 006 007 008 009 012 013 014 016 017 018 019 020 021 022 023 024 025 026 028 030 032 035 036 037 041 043 044 048 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Chapter 15: Distribution-Free Procedures
15.AE 7 001 003 006 007 008 009 010
15.E 38 001 003 004 005 007 008 009 010 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 031 032 033 034 035 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP
Chapter 16: Quality Control Methods
16.AE 9 001 002 003 004 006 007 008 009 010
16.E 42 001 002 003 004 005 006 007 008 009 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 034 035 036 037 038 041 042 501.XP 502.XP 503.XP 504.XP
Total 928