# Statistics: The Exploration and Analysis of Data 7th edition

Roxy Peck and Jay L. Devore
Publisher: Cengage Learning

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• Chapter 1: The Role of Statistics and the Data Analysis Process
• 1.1: Why Study Statistics?
• 1.2: The Nature and Role of Variability
• 1.3: Statistics and the Data Analysis Process (6)
• 1.4: Types of Data and Some Simple Graphical Displays (8)
• 1: Chapter Review (2)
• 1: Extra Problems
• Active Examples
• Active Examples (2)

• Chapter 2: Collecting Data Sensibly
• 2.1: Statistical Studies: Observation and Experimentation (3)
• 2.2: Sampling (7)
• 2.3: Simple Comparative Experiments
• 2.4: More on Experimental Design (2)
• 2.5: More on Observational Studies: Designing Surveys (Optional)
• 2.6: Interpreting and Communicating the Results of Statistical Analyses
• 2: Chapter Review (3)
• 2: Extra Problems
• Active Examples
• Active Examples

• Chapter 3: Graphical Methods for Describing Data
• 3.1: Displaying Categorical Data: Comparative Bar Charts and Pie Charts (4)
• 3.2: Displaying Numerical Data: Stem-and-Leaf Displays (3)
• 3.3: Displaying Numerical Data: Frequency Distributions and Histograms (5)
• 3.4: Displaying Bivariate Numerical Data
• 3.5: Interpreting and Communicating the Results of Statistical Analyses
• 3: Chapter Review (7)
• 3: Cumulative Review Exercises (5)
• 3: Extra Problems (2)
• Active Examples
• Active Examples
• Active Examples (3)

• Chapter 4: Numerical Methods for Describing Data
• 4.1: Describing the Center of a Data Set (2)
• 4.2: Describing Variability in a Data Set (5)
• 4.3: Summarizing a Data Set: Boxplots (1)
• 4.4: Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores (9)
• 4.5: Interpreting and Communicating the Results of Statistical Analyses
• 4: Chapter Review (6)
• 4: Extra Problems (1)
• Active Examples
• Active Examples (5)

• Chapter 5: Summarizing Bivariate Data
• 5.1: Correlation (4)
• 5.2: Linear Regression: Fitting a Line to Bivariate Data (5)
• 5.3: Assessing the Fit of a Line (6)
• 5.4: Nonlinear Relationships and Transformations (1)
• 5.5: Logistic Regression (Optional) (4)
• 5.6: Interpreting and Communicating the Results of Statistical Analyses
• 5: Chapter Review (8)
• 5: Cumulative Review Exercises (8)
• 5: Extra Problems (2)
• Active Examples
• Active Examples (3)
• Active Examples

• Chapter 6: Probability
• 6.1: Interpreting Probabilities and Basic Probability Rules (5)
• 6.2: Probability as a Basis for Making Decisions (2)
• 6.3: Estimating Probabilities Empirically and by Using Simulation (3)
• 6: Chapter Review (2)
• 6: Extra Problems
• Active Examples
• Active Examples (1)

• Chapter 7: Population Distributions
• 7.1: Describing the Distribution of Values in a Population (3)
• 7.2: Population Models for Continuous Numerical Variables (2)
• 7.3: Normal Distributions (15)
• 7.4: Checking for Normality and Normalizing Transformations
• 7: Chapter Review
• 7: Extra Problems
• Active Examples
• Active Examples (2)

• Chapter 8: Sampling Variability and Sampling Distributions
• 8.1: Statistics and Sampling Variability (3)
• 8.2: The Sampling Distribution of a Sample Mean (10)
• 8.3: The Sampling Distribution of a Sample Proportion (8)
• 8: Chapter Review (5)
• 8: Extra Problems (1)
• Active Examples
• Active Examples (3)

• Chapter 9: Estimation Using a Single Sample
• 9.1: Point Estimation (7)
• 9.2: Large-Sample Confidence Interval for a Population Proportion (6)
• 9.3: Confidence Interval for a Population Mean (7)
• 9.4: Interpreting and Communicating the Results of Statistical Analyses
• 9: Chapter Review (6)
• 9: Extra Problems (2)
• Active Examples
• Active Examples (6)

• Chapter 10: Hypothesis Testing Using a Single Sample
• 10.1: Hypotheses and Test Procedures (7)
• 10.2: Errors in Hypothesis Testing (2)
• 10.3: Large-Sample Hypothesis Tests for a Population Proportion (11)
• 10.4: Hypothesis Tests for a Population Mean (3)
• 10.5: Power and Probability of Type II Error (2)
• 10.6: Interpreting and Communicating the Results of Statistical Analyses
• 10: Chapter Review (3)
• 10: Cumulative Review Exercises (4)
• 10: Extra Problems (1)
• Active Examples
• Active Examples (8)
• Active Examples

• Chapter 11: Comparing Two Populations or Treatments
• 11.1: Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples (8)
• 11.2: Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples (3)
• 11.3: Large Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions (5)
• 11.4: Interpreting and Communicating the Results of Statistical Analyses
• 11: Chapter Review (2)
• 11: Extra Problems (1)
• Active Examples
• Active Examples (7)

• Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
• 12.1: Chi-Square Tests for Univariate Data (9)
• 12.2: Tests for Homogeneity and Independence in a Two-way Table (7)
• 12.3: Interpreting and Communicating the Results of Statistical Analyses
• 12: Chapter Review (3)
• 12: Extra Problems
• Active Examples
• Active Examples (8)

• Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
• 13.1: Simple Linear Regression Model (6)
• 13.2: Inferences About the Slope of the Population Regression Line (5)
• 13.3: Checking Model Adequacy (2)
• 13.4: Inferences Based on the Estimated Regression Line (Optional) (3)
• 13.5: Inferences About the Population Correlation Coefficient (Optional)
• 13.6: Interpreting and Communicating the Results of Statistical Analyses
• 13: Chapter Review
• 13: Cumulative Review Exercises (7)
• 13: Extra Problems
• Active Examples
• Active Examples (7)
• Active Examples

• Chapter 14: Multiple Regression Analysis
• 14.1: Multiple Regression Models (9)
• 14.2: Fitting a Model and Assessing Its Utility (7)
• 14.3: Inferences Based on an Estimated Model
• 14.4: Other Issues in Multiple Regression
• 14.5: Interpreting and Communicating the Results of Statistical Analyses
• 14: Extra Problems
• Active Examples
• Active Examples (5)

• Chapter 15: Analysis of Variance
• 15.1: Single-Factor ANOVA and the F Test (8)
• 15.2: Multiple Comparisons (1)
• 15.3: The F Test for a Randomized Block Experiment
• 15.4: Two-Factor ANOVA
• 15.5: Interpreting and Communicating the Results of Statistical Analyses
• 15: Extra Problems
• Active Examples
• Active Examples (3)

• Chapter 16: Nonparametric (Distribution-Free) Statistical Methods
• 16.1: Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples (Optional)
• 16.2: Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples
• 16.3: Distribution-Free ANOVA
• 16: Extra Problems
• Active Examples
• Active Examples

## 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
C - Cumulative Review
AE - Active Example

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

Group Quantity Questions
Chapter 1: The Role of Statistics and the Data Analysis Process
1.AE 2 002 008
1.E 16 003 004 005 007 008 009 012 013 014 015 017 029 030 031 034 035
Chapter 2: Collecting Data Sensibly
2.E 15 001 010 011 017 018 019 029 030 031 032 051 055 071 075 076
Chapter 3: Graphical Methods for Describing Data
3.AE 3 009 011 015
3.C 5 001 006 011 012 015
3.E 21 009 010 011 012 016 020 021 026 028 030 036 037 055 056 057 058 063 070 071 501.XP 502.XP
Chapter 4: Numerical Methods for Describing Data
4.AE 5 001 004 014 015 018
4.E 24 015 016 024 027 028 030 031 032 038 039 041 043 044 045 046 050 052 057 060 061 064 065 066 501.XP
Chapter 5: Summarizing Bivariate Data
5.AE 3 001 014 021
5.C 8 007 008 010 011 012 013 014 017
5.E 30 001 002 009 010 014 019 023 024 028 031 036 037 038 041 043 052 056 059 060 061 067 068 069 070 071 073 075 079 501.XP 502.XP
Chapter 6: Probability
6.AE 1 008
6.E 12 008 009 010 012 013 015 017 019 021 022 032 033
Chapter 7: Population Distributions
7.AE 2 011 015
7.E 20 001 002 007 011 013 015 016 017 018 019 020 021 022 023 024 030 031 032 033 034
Chapter 8: Sampling Variability and Sampling Distributions
8.AE 3 005 006 009
8.E 27 003 004 007 010 011 013 014 016 017 018 019 021 022 023 025 026 027 028 029 030 031 032 033 034 035 037 501.XP
Chapter 9: Estimation Using a Single Sample
9.AE 6 005 006 007 009 010 011
9.E 28 001 003 004 005 006 007 009 011 012 021 022 025 033 034 035 036 037 044 050 051 057 064 065 067 069 070 501.XP 502.XP
Chapter 10: Hypothesis Testing Using a Single Sample
10.AE 8 008 009 010 011 013 014 015 017
10.C 4 011 012 013 014
10.E 29 002 006 007 008 009 010 011 015 019 024 025 026 027 033 034 035 036 037 038 040 044 045 057 061 065 068 069 070 501.XP
Chapter 11: Comparing Two Populations or Treatments
11.AE 7 001 003 006 007 008 009 011
11.E 19 003 010 011 014 015 016 018 020 024 025 031 047 048 050 051 053 065 069 501.XP
Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
12.AE 8 001 002 003 004 005 006 007 008
12.E 19 001 002 003 007 009 010 011 012 013 014 015 016 027 028 029 031 035 036 037
Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
13.AE 7 002 003 004 005 011 012 013
13.C 7 010 011 012 013 014 015 017
13.E 16 001 002 005 009 010 011 013 015 016 017 025 030 031 035 036 038
Chapter 14: Multiple Regression Analysis
14.AE 5 002 007 008 009 010
14.E 16 003 006 007 008 009 010 013 014 015 016 017 018 021 022 025 029
Chapter 15: Analysis of Variance
15.AE 3 003 004 005
15.E 9 001 002 003 009 010 011 012 013 014
Chapter 16: Nonparametric (Distribution-Free) Statistical Methods
16 0
Total 388