# Probability and Statistics for Engineering and the Sciences 7th edition

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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 (8)
• 1.4: Measures of Variability (10)
• 1: Supplementary Exercises
• Active Example
• Active Example (10)

• Chapter 2: Sample Spaces and Events
• 2.1: Sample Spaces and Events (6)
• 2.2: Axioms, Interpretations, and Properties of Probability (10)
• 2.3: Counting Techniques (5)
• 2.4: Conditional Probability (9)
• 2.5: Independence (7)
• 2: Supplementary Exercises
• Active Example
• Active Example (10)

• Chapter 3: Discrete Random Variables and Probability Distributions
• 3.1: Random Variables (6)
• 3.2: Probability Distributions for Discrete Random Variables (10)
• 3.3: Expected Values (8)
• 3.4: The Binomial Probability Distribution (6)
• 3.5: Hypergeometric and Negative Binomial Distributions (3)
• 3.6: The Poisson Probability Distribution (8)
• 3: Supplementary Exercises
• Active Example
• Active Example (10)

• Chapter 4: Continuous Random Variables and Probability Distributions
• 4.1: Probability Density Functions (8)
• 4.2: Cumulative Distribution Functions and Expected Values (9)
• 4.3: The Normal Distribution (11)
• 4.4: The Exponential and Gamma Distributions (5)
• 4.5: Other Continuous Distributions (2)
• 4.6: Probability Plots (2)
• 4: Supplementary Exercises (1)
• Active Example
• Active Example (11)

• Chapter 5: Joint Probability Distributions and Random Samples
• 5.1: Jointly Distributed Random Variables (13)
• 5.2: Expected Values, Covariance, and Correlation (9)
• 5.3: Statistics and Their Distributions (8)
• 5.4: The Distribution of the Sample Mean (10)
• 5.5: The Distribution of a Linear Combination (1)
• 5: Supplementary Exercises
• Active Example
• Active Example (10)

• Chapter 6: Point Estimation
• 6.1: Some General Concepts and Point Estimation (18)
• 6.2: Methods of Point Estimation (11)
• 6: Supplementary Exercises (6)
• Active Example
• Active Example (10)

• Chapter 7: Statistical Intervals Based on a Single Sample
• 7.1: Basic Properties of Confidence Intervals (7)
• 7.2: Large-Sample Confidence Intervals for a Population Mean and Proportion (13)
• 7.3: Intervals Based on a Normal Population Distribution (13)
• 7.4: Confidence Intervals for the Variance and Standard Deviation of a Normal Population (4)
• 7: Supplementary Exercises (4)
• Active Example
• Active Example (10)

• Chapter 8: Tests of Hypotheses Based on a Single Sample
• 8.1: Hypotheses and Test Procedures (7)
• 8.2: Tests About a Population Proportion (15)
• 8.3: Tests Concerning a Population Proportion (9)
• 8.4: P-Values (8)
• 8.5: Some Comments on Selecting a Test
• 8: Supplementary Exercises (1)
• Active Example
• Active Example (10)

• Chapter 9: Inferences Based on Two Samples
• 9.1: z Tests and Confidence Intervals for a Difference Between Two Population Means (13)
• 9.2: The Two-Sample t Test and Confidence Interval (10)
• 9.3: Analysis of Paired Data (4)
• 9.4: Inferences Concerning a Difference Between Population Proportions (5)
• 9.5: Inferences Concerning Two Population Variances (4)
• 9: Supplementary Exercises
• Active Example
• Active Example (10)

• Chapter 10: The Analysis of Variance
• 10.1: Single-Factor ANOVA (9)
• 10.2: Multiple Comparisons in ANOVA (12)
• 10.3: More on Single-Factor ANOVA (11)
• 10: Supplementary Exercises (5)
• Active Example
• 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 (6)
• 11.3: Three-Factor ANOVA (5)
• 11.4: 2P Factorial Experiments (3)
• 11: Supplementary Exercises (10)
• Active Example
• Active Example (10)

• Chapter 12: Simple Linear Regression and Correlation
• 12.1: The Simple Linear Regression Model (3)
• 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 (6)
• 12.5: Correlation (8)
• 12: Supplementary Exercises (2)
• Active Example
• Active Example (10)

• Chapter 13: Nonlinear and Multiple Regression
• 13.1: Aptness of the Model and Model Checking (6)
• 13.2: Regression with Transformed Variables (6)
• 13.3: Polynomial Regression (5)
• 13.4: Multiple Regression Analysis (14)
• 13.5: Other Issues in Multiple Regression
• 13: Supplementary Exercises (5)
• Active Example
• Active Example (10)

• Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
• 14.1: Goodness-of-Fit Tests When Category Probabilities Are Completely Specified (11)
• 14.2: Goodness-of-Fit Tests for Composite Hypotheses (7)
• 14.3: Two-Way Contingency Tables (9)
• 14: Supplementary Exercises (8)
• Active Example
• Active Example (10)

• Chapter 15: Distribution-Free Procedures
• 15.1: The Wilcoxon Signed-Rank Test (9)
• 15.2: The Wilcoxon Rank-Sum Test (7)
• 15.3: Distribution-Free Confidence Intervals (6)
• 15.4: Distribution-Free ANOVA (5)
• 15: Supplementary Exercises (8)
• Active Example
• Active Example (10)

• Chapter 16: Quality Control Methods
• 16.1: General Comments on Control Charts (1)
• 16.2: Control Charts for Process Location (10)
• 16.3: Control Charts for Process Variation (4)
• 16.4: Control Charts for Attributes (8)
• 16.5: CUSUM Procedures (4)
• 16.6: Acceptance Sampling (6)
• 16: Supplementary Exercises (2)
• Active Example
• Active Example (10)

## 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
P - Problem
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 10 001 003 005 006 010 011 013 014 015 017
1.P 35 002 004 006 007 008 010 012 014 017 018 019 020 021 022 026 028 032 033 034 035 036 037 038 039 041 044 045 046 049 050 051 054 056 058 060
Chapter 2: Sample Spaces and Events
2.AE 10 002 005 010 013 018 020 021 027 030 033
2.P 37 001 002 003 004 006 008 012 014 018 019 020 021 022 026 027 028 032 035 038 039 042 045 047 048 050 057 060 061 062 063 071 074 076 077 080 082 086
Chapter 3: Discrete Random Variables and Probability Distributions
3.AE 10 003 008 012 017 023 025 030 033 037 040
3.P 41 001 004 006 006.alt 008 010 011 012 013 016 016.alt 017 018 019 023 024 029 029.alt 030 032 035 036 036.alt 039 046 048 054 055 065 066 068 072 076 079 080 082 084 086 088 089 092
Chapter 4: Continuous Random Variables and Probability Distributions
4.AE 11 003 006 010 014 018 020 021 023 025 028 031
4.P 38 001 002 003 004 005 006 006.alt 007 011 012 013 014 015 015.alt 021 022 022.alt 028 029 031 032 033 038 040 041 042 046 054 059 060 061 066 069 073 081 089 094 110
Chapter 5: Joint Probability Distributions and Random Samples
5.AE 10 001 007 010 016 021 023 024 026 028 030
5.P 41 001 002 003 005 006 006.alt 007 009 010 015 018 019 020 022 023 024 025 026 028 029 030 031 037 037.alt 038 039 039.alt 040 042 043 046 047 048 049 050 050.alt 051 053 054 054.alt 066
Chapter 6: Point Estimation
6.AE 10 001 003 006 007 010 012 016 017 019 022
6.P 35 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 033 034 035 036 037
Chapter 7: Statistical Intervals Based on a Single Sample
7.AE 10 003 004 006 007 008 009 010 012 013 015
7.P 41 001 002 004 004.alt 005 006 011 012 013 014 015 016 018 019 019.alt 020 021 022 023 024 028 029 030 031 032 033 033.alt 034 034.alt 035 037 038 038.alt 043 044 045 045.alt 048 050 054 055
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.AE 10 001 003 005 007 009 010 011 013 017 018
8.P 40 003 004 006 006.alt 008 010 012 015 016 018 020 021 022 023 024 025 025.alt 026 026.alt 028 030 031 035 036 036.alt 037 037.alt 039 040 041 044 046 047 049 050 053 055 057 058 068
Chapter 9: Inferences Based on Two Samples
9.AE 10 001 002 003 004 005 006 008 010 012 013
9.P 36 002 003 004 005 006 006.alt 007 008 010 011 012 013 016 017 018 019 020 021 022 028 029 032 033 036 041 042 044 048 049 050 052 056 058 059 061 063
Chapter 10: The Analysis of Variance
10.AE 10 001 002 003 004 005 006 007 008 009 010
10.P 37 001 002 003 004 005 006 007 008 009 011 011.alt 012 013 014 015 016 017 018 018.alt 019 020 022 022combo 023 024 025 027 030 031 032 033 034 035 038 039 040 041
Chapter 11: Multifactor Analysis of Variance
11.AE 10 001 003 004 006 007 008 009 010 011 016
11.P 35 001 002 003 005 006 007 009 010 012 014 015 016 019 020 021 023 026 028 032 033 034 036 042 046 048 050 051 052 053 054 056 057 058 059 060
Chapter 12: Simple Linear Regression and Correlation
12.AE 10 001 002 003 004 006 011 012 013 017 018
12.P 35 002 007 011 013 016 017 018 019 020 021 022 024 030 031 032 034 035 036 040 046 046.alt 047 049 053 054 057 058 060 061 062 063 064 067 071 075
Chapter 13: Nonlinear and Multiple Regression
13.AE 10 001 003 006 007 012 013 016 018 019 023
13.P 36 001 004 006 006.alt 007 012 015 016 017 018 021 024 026 028 030 032 034 036 037 038 039 040 041 042 044 045 046 048 049 050 052 066 067 070 072 076
Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis
14.AE 10 001 002 003 004 005 006 008 009 012 013
14.P 35 001 003 004 005 006 007 008 009 011a 011b 011c 012 013 016 018 019 021 023 024 025 026 028 030 031 032 035 036 037 038 039 040 041 043 044 048
Chapter 15: Distribution-Free Procedures
15.AE 10 001 002 003 004 005 006 007 008 009 010
15.P 35 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035
Chapter 16: Quality Control Methods
16.AE 10 001 002 003 004 005 006 007 008 009 010
16.P 35 001 004 005 006 007 008 009 010 011 012 013 014 015 016 017 019 020 021 022 023 024 025 026 027 028 029 030 032 033 034 035 036 038 039 040
Total 753