# Probability and Statistics for Engineering and the Sciences 8th edition

Jay Devore
Publisher: Cengage Learning

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• Chapter 1: Overview and Descriptive Statistics
• 1.1: Populations, Samples, and Processes (5)
• 1.2: Pictorial and Tabular Methods in Descriptive Statistics (12)
• 1.3: Measures of Location (7)
• 1.4: Measures of Variability (9)
• 1: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems (3)
• Active Example (7)

• Chapter 2: Sample Spaces and Events
• 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 (13)
• 2.5: Independence (8)
• 2: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (10)

• Chapter 3: Discrete Random Variables and Probability Distributions
• 3.1: Random Variables (5)
• 3.2: Probability Distributions for Discrete Random Variables (12)
• 3.3: Expected Values (7)
• 3.4: The Binomial Probability Distribution (10)
• 3.5: Hypergeometric and Negative Binomial Distributions (5)
• 3.6: The Poisson Probability Distribution (8)
• 3: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (9)

• Chapter 4: Continuous Random Variables and Probability Distributions
• 4.1: Probability Density Functions (7)
• 4.2: Cumulative Distribution Functions and Expected Values (9)
• 4.3: The Normal Distribution (15)
• 4.4: The Exponential and Gamma Distributions (5)
• 4.5: Other Continuous Distributions (6)
• 4.6: Probability Plots (2)
• 4: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (9)

• Chapter 5: Joint Probability Distributions and Random Samples
• 5.1: Jointly Distributed Random Variables (13)
• 5.2: Expected Values, Covariance, and Correlation (10)
• 5.3: Statistics and Their Distributions (6)
• 5.4: The Distribution of the Sample Mean (7)
• 5.5: The Distribution of a Linear Combination (4)
• 5: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (10)

• Chapter 6: Point Estimation
• 6.1: Some General Concepts and Point Estimation (18)
• 6.2: Methods of Point Estimation (10)
• 6: Supplementary Exercises (6)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (9)

• Chapter 7: Statistical Intervals Based on a Single Sample
• 7.1: Basic Properties of Confidence Intervals (8)
• 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (10)
• 7.3: Intervals Based on a Normal Population Distribution (9)
• 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (4)
• 7: Supplementary Exercises (4)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (8)

• Chapter 8: Tests of Hypotheses Based on a Single Sample
• 8.1: Hypotheses and Test Procedures (7)
• 8.2: Tests About a Population Mean (13)
• 8.3: Tests Concerning a Population Proportion (6)
• 8.4: P-Values (7)
• 8.5: Some Comments on Selecting a Test (2)
• 8: Supplementary Exercises (1)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (7)

• Chapter 9: Inferences Based on Two Samples
• 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (10)
• 9.2: The Two-Sample t Test and Confidence Interval (11)
• 9.3: Analysis of Paired Data (4)
• 9.4: Inferences Concerning a Difference Between Population Proportions (4)
• 9.5: Inferences Concerning Two Population Variances (4)
• 9: Supplementary Exercises
• Extra Problems
• Extra Problems
• Extra Problems (1)
• Active Example (9)

• Chapter 10: The Analysis of Variance
• 10.1: Single-Factor ANOVA (7)
• 10.2: Multiple Comparisons in ANOVA (9)
• 10.3: More on Single-Factor ANOVA (9)
• 10: Supplementary Exercises (5)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (10)

• Chapter 11: Multifactor Analysis of Variance
• 11.1: Two-Factor ANOVA with Kij = 1 (11)
• 11.2: Two-Factor ANOVA with Kij > 1 (5)
• 11.3: Three-Factor ANOVA (5)
• 11.4: 2p Factorial Experiments (4)
• 11: Supplementary Exercises (9)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (7)

• Chapter 12: Simple Linear Regression and Correlation
• 12.1: The Simple Linear Regression Model (4)
• 12.2: Estimating Model Parameters (9)
• 12.3: Inferences About the Slope Parameter β1 (7)
• 12.4: Inferences Concerning µY · x* and the Prediction of Future Y Values (5)
• 12.5: Correlation (7)
• 12: Supplementary Exercises (2)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (8)

• Chapter 13: Nonlinear and Multiple Regression
• 13.1: Assessing Model Adequacy (5)
• 13.2: Regression with Transformed Variables (5)
• 13.3: Polynomial Regression (4)
• 13.4: Multiple Regression Analysis (13)
• 13.5: Other Issues in Multiple Regression (2)
• 13: Supplementary Exercises (5)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (9)

• Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
• 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (6)
• 14.2: Goodness-of-Fit Tests for Composite Hypotheses (7)
• 14.3: Two-Way Contingency Tables (8)
• 14: Supplementary Exercises (7)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (10)

• Chapter 15: Distribution-Free Procedures
• 15.1: The Wilcoxon Signed-Rank Test (6)
• 15.2: The Wilcoxon Rank-Sum Test (6)
• 15.3: Distribution-Free Confidence Intervals (5)
• 15.4: Distribution-Free ANOVA (5)
• 15: Supplementary Exercises (8)
• Extra Problems
• Extra Problems
• Extra Problems (1)
• Active Example (9)

• Chapter 16: Quality Control Methods
• 16.1: General Comments on Control Charts (3)
• 16.2: Control Charts for Process Location (10)
• 16.3: Control Charts for Process Variation (3)
• 16.4: Control Charts for Attributes (8)
• 16.5: CUSUM Procedures (4)
• 16.6: Acceptance Sampling (6)
• 16: Supplementary Exercises (2)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Example (9)

This comprehensive introduction to probability and statistics will give students the solid grounding they need no matter what their engineering specialty. Probability and Statistics for Engineering and the Sciences 8th edition emphasizes concepts, models, methodology, and applications that facilitate students' understanding. The WebAssign component for this text engages students with immediate feedback, lecture videos, and a question bank of end-of-section exercises.

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## Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

##### Question Group Key
AE - Active Example

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter 1: Overview and Descriptive Statistics
1.AE 7 004 006 007 011 013 016 019
1.E 36 002 004 006 007 008 010 012 014 017 018 019 020 021 022 026 028 032 034 035 036 037 038 039 041 044 045 046 049 050 051 052 058 060 501.XP 502.XP 503.XP
Chapter 2: Sample Spaces and Events
2.AE 10 002 005 010 013 018 020 021 027 031 034
2.E 45 001 002 003 004 006 008 012 014 016 018 019 020 021 022 026 027 028 030 032 035 036 038 039 042 045 047 048 050 052 054 057 060 061 062 063 064 068 071 074 076 077 080 082 084 086
Chapter 3: Discrete Random Variables and Probability Distributions
3.AE 9 003 008 012 017 023 030 033 037 040
3.E 47 001 004 006 008 010 011 012 013 016 017 018 019 020 022 023 024 026 029 030 032 035 036 039 042 046 048 050 054 055 056 060 061 065 066 068 070 072 076 078 079 080 082 084 086 088 089 092
Chapter 4: Continuous Random Variables and Probability Distributions
4.AE 9 003 006 010 014 018 023 025 028 031
4.E 44 002 003 004 005 006 007 009 011 012 013 014 015 018 021 022 024 028 029 030 031 032 036 038 040 041 042 044 046 050 054 056 059 060 062 066 069 072 073 074 081 082 084 089 094
Chapter 5: Joint Probability Distributions and Random Samples
5.AE 10 001 007 010 016 021 023 024 026 029 031
5.E 40 001 002 003 005 006 007 009 010 012 015 018 019 020 022 023 024 025 026 028 029 030 031 034 037 038 039 040 042 043 046 047 049 050 051 053 054 058 062 066 068
Chapter 6: Point Estimation
6.AE 9 001 006 007 010 012 016 017 019 022
6.E 34 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 020 021 022 023 025 026 027 028 029 030 031 033 034 035 036 037
Chapter 7: Statistical Intervals Based on a Single Sample
7.AE 8 003 004 008 009 010 012 013 015
7.E 35 001 002 004 005 006 008 010 011 012 013 014 015 018 019 020 022 024 026 028 029 030 031 033 034 035 037 038 042 043 044 045 048 050 054 055
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.AE 7 001 003 005 007 010 013 017
8.E 36 002 003 004 006 008 010 012 015 016 018 020 021 022 023 024 025 026 028 032 034 038 039 040 042 043 046 048 049 051 052 055 056 060 063 064 070
Chapter 9: Inferences Based on Two Samples
9.AE 9 001 002 003 005 006 008 010 012 013
9.E 34 003 004 005 006 008 010 011 012 013 016 017 018 019 020 021 022 024 028 029 032 033 036 040 042 046 051 052 056 058 060 061 063 065 501.XP
Chapter 10: The Analysis of Variance
10.AE 10 001 002 004 005 006 007 008 009 010 011
10.E 30 001 002 003 005 006 008 009 011 012 013 014 016 017 018 019 020 022 023 025 027 030 031 032 033 034 035 038 039 040 041
Chapter 11: Multifactor Analysis of Variance
11.AE 7 001 003 004 009 010 011 016
11.E 34 001 002 003 005 006 007 009 010 012 014 015 016 019 021 023 026 028 032 033 034 036 038 040 042 046 050 051 052 053 054 056 057 058 059
Chapter 12: Simple Linear Regression and Correlation
12.AE 8 001 002 003 006 011 013 017 018
12.E 34 002 006 007 011 013 014 016 018 019 020 021 024 027 030 032 034 035 036 038 040 044 047 049 052 054 057 058 061 062 063 064 067 071 075
Chapter 13: Nonlinear and Multiple Regression
13.AE 9 001 003 007 012 013 016 018 020 024
13.E 34 001 004 005 007 012 015 016 017 018 021 026 028 032 034 036 037 038 039 040 041 042 045 046 048 049 050 052 059 061 066 067 070 072 076
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 28 001 004 005 007 008 009 012 013 016 018 019 021 023 024 025 026 028 030 032 035 036 037 039 040 041 043 044 048
Chapter 15: Distribution-Free Procedures
15.AE 9 001 003 004 005 006 007 008 009 010
15.E 31 001 003 004 005 007 009 010 011 012 013 015 016 017 018 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 501.XP
Chapter 16: Quality Control Methods
16.AE 9 001 002 003 004 006 007 008 009 010
16.E 36 001 004 005 006 007 008 009 010 011 012 013 014 015 016 017 019 021 022 023 024 025 026 027 028 029 030 031 032 034 035 036 037 038 040 041 042
Total 718