# Introduction to Statistics and Data Analysis 4th edition

Roxy Peck, Chris Olsen and Jay L. Devore
Publisher: Cengage Learning

## Cengage Unlimited

Included in a Cengage Unlimited subscription. Learn More

## eBook

Your students can pay an additional fee for access to an online version of the textbook that might contain additional interactive features.

## Lifetime of Edition (LOE)

Your students are allowed unlimited access to WebAssign courses that use this edition of the textbook at no additional cost.

## Textbook Resources

Additional instructional and learning resources are available with the textbook, and might include testbanks, slide presentations, online simulations, videos, and documents.

Access is contingent on use of this textbook in the instructor's classroom.

Academic Term Homework Homework and eBook
Higher Education Single Term N/A \$90.00
High School \$21.50 \$35.00

Online price per student per course or lab, bookstore price varies. Access cards can be packaged with most any textbook, please see your textbook rep or contact WebAssign

• 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)
• Extra Problems
• Extra Problems
• Extra Problems
• 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)
• Extra Problems
• Extra Problems
• Extra Problems
• 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 (1)
• 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)
• Extra Problems
• Extra Problems
• Extra Problems (2)
• 3: Cumulative Review Exercises
• Active Examples (3)

• Chapter 4: Numerical Methods for Describing Data
• 4.1: Describing the Center of a Data Set (1)
• 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)
• Extra Problems
• Extra Problems
• Extra Problems (1)
• 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
• 5.5: Logistic Regression (Optional) (3)
• 5.6: Interpreting and Communicating the Results of Statistical Analyses
• 5: Chapter Review (8)
• 5: Cumulative Review Exercises (8)
• Extra Problems
• Extra Problems
• Extra Problems (2)
• 5: Cumulative Review Exercises
• Active Examples (3)

• Chapter 6: Probability
• 6.1: Chance Experiments and Events (6)
• 6.2: Definition of Probability
• 6.3: Basic Properties of Probability (9)
• 6.4: Conditional Probability (5)
• 6.5: Independence (9)
• 6.6: Some General Probability Rules (4)
• 6.7: Estimating Probabilities Empirically Using Simulation (3)
• 6: Chapter Review (1)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Examples (7)

• Chapter 7: Random Variables and Probability Distributions
• 7.1: Random Variables (6)
• 7.2: Probability Distributions for Discrete Random Variables (9)
• 7.3: Probability Distributions for Continuous Random Variables (6)
• 7.4: Mean and Standard Deviation of a Random Variable (12)
• 7.5: Binomial and Geometric Distributions (15)
• 7.6: Normal Distributions (13)
• 7.7: Checking for Normality and Normalizing Transformations
• 7.8: Using the Normal Distribution to Approximate a Discrete Distribution (7)
• 7: Chapter Review (16)
• 7: Cumulative Review Exercises (8)
• Extra Problems
• Extra Problems
• Extra Problems (2)
• 7: Cumulative Review Exercises
• Active Examples (9)

• Chapter 8: Sampling Variability and Sampling Distributions
• 8.1: Statistics and Sampling Variability (3)
• 8.2: The Sampling Distribution of a Sample Mean (9)
• 8.3: The Sampling Distribution of a Sample Proportion (8)
• 8: Chapter Review (5)
• Extra Problems
• Extra Problems
• Extra Problems (1)
• 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 Population Mean (7)
• 9.4: Interpreting and Communicating the Results of Statistical Analyses
• 9: Chapter Review (6)
• Extra Problems
• Extra Problems
• Extra Problems (2)
• Active Examples (6)

• Chapter 10: Hypothesis Testing Using a Single Sample
• 10.1: Hypotheses and Test Procedures (7)
• 10.2: Errors in Hypotheses Testing (2)
• 10.3: Large-Sample Hypothesis Tests for a Population Proportion (10)
• 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)
• Extra Problems
• Extra Problems
• Extra Problems (1)
• 10: Cumulative Review Exercises
• Active Examples (8)

• 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 the Difference Between Two Population or Treatment Proportions (4)
• 11.4: Interpreting and Communicating the Results of Statistical Analyses
• 11: Chapter Review (2)
• Extra Problems
• Extra Problems
• Extra Problems (1)
• 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 (8)
• 12.3: Interpreting and Communicating the Results of Statistical Analyses
• 12: Chapter Review (3)
• Extra Problems
• Extra Problems
• Extra Problems
• 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)
• Extra Problems
• Extra Problems
• Extra Problems
• Active Examples (7)
• 13: Cumulative Review Exercises

• 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
• Extra Problems
• Extra Problems
• Extra Problems
• 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
• Extra Problems
• Extra Problems
• Extra Problems
• 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
• Extra Problems
• Extra Problems
• Extra Problems
• Active Examples

Use the Textbook Edition Upgrade Tool to automatically update assignments from this title to corresponding questions in the newest edition of this textbook.

## 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
XP - Extra Problem (not found in textbook)
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 19 009 010 011 012 020 026 028 030 036 037 055 056 057 058 063 070 071 501.XP 502.XP
Chapter 4: Numerical Methods for Describing Data
4.AE 5 001 004 014 015 018
4.E 23 016 024 027 028 030 031 032 038 039 041 043 044 045 046 050 052 057 060 061 064 065 066 501.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 28 001 002 009 010 014 019 023 024 028 031 036 037 038 041 043 056 059 061 067 068 069 070 071 073 075 079 501.XP 502.XP
Chapter 6: Probability
6.AE 7 010 011 014 017 024 027 030
6.E 37 003 004 006 007 009 010 016 020 022 023 025 026 027 028 029 030 031 038 039 040 048 049 050 051 054 055 056 057 058 059 060 061 076 078 080 081 092
Chapter 7: Random Variables and Probability Distributions
7.AE 9 008 009 013 016 022 023 025 029 036
7.C 8 009 010 013 015 016 018 019 021
7.E 86 001 002 004 005 006 007 008 009 011 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 034 035 036 038 039 041 042 043 044 045 046 047 051 052 053 054 055 057 058 060 061 062 063 064 065 066 067 068 069 070 071 078 079 080 081 094 095 096 097 100 101 102 106 107 108 109 110 111 112 114 115 116 117 118 119 121 124 125 501.XP 502.XP
Chapter 8: Sampling Variability and Sampling Distributions
8.AE 3 005 006 009
8.E 26 003 004 007 010 011 013 014 016 017 018 019 021 023 025 026 027 028 029 030 031 032 033 034 035 037 501.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 28 002 006 007 008 009 010 011 015 019 024 025 026 027 033 034 035 036 037 038 044 045 057 061 065 068 069 070 501.XP
Chapter 11: Comparing Two Populations or Treatments
11.AE 7 001 003 006 007 008 009 011
11.E 18 003 010 011 014 015 016 018 020 024 025 031 047 048 050 053 065 069 501.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 20 001 002 003 007 009 010 011 012 013 014 015 016 027 028 029 030 031 035 036 037
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 493