# Introduction to Statistics and Data Analysis 3rd edition

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

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• Chapter 1: The Role of Statistics and the Data Analysis Process
• 1.1: Three Reasons to Study Statistics
• 1.2: The Nature and Role of Variability
• 1.3: Statistics and the Data Analysis Process (7)
• 1.4: Types of Data and Some Simple Graphical Displays (11)
• 1: Chapter Review
• 1: Active Example (2)

• Chapter 2: Collecting Data Sensibly
• 2.1: Statistical Studies: Observation and Experimentation (4)
• 2.2: Sampling (8)
• 2.3: Simple Comparative Experiments (1)
• 2.4: More on Experimental Design (2)
• 2.5: More on Observational Studies: Designing Surveys
• 2.6: Interpreting and Communicating the Results of Statistical Analyses
• 2: Chapter Review (3)
• 2: Active Example

• Chapter 3: Graphical Methods for Describing Data
• 3.1: Displaying Categorical Data: Comparative Bar Charts and Pie Charts (6)
• 3.2: Displaying Numerical Data: Stem-and-Leaf Displays (7)
• 3.3: Displaying Numerical Data: Frequency Distributions and Histograms (10)
• 3.4: Displaying Bivariate Numerical Data (2)
• 3.5: Interpreting and Communicating the Results of Statistical Analyses
• 3: Chapter Review (6)
• 3: Active Example (5)

• Chapter 4: Numerical Methods for Describing Data
• 4.1: Describing the Center of a Data Set (10)
• 4.2: Describing Variability in a Data Set (11)
• 4.3: Summarizing a Data Set: Boxplots (4)
• 4.4: Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores (10)
• 4.5: Interpreting and Communicating the Results of Statistical Analyses
• 4: Chapter Review (11)
• 4: Active Example (10)

• Chapter 5: Summarizing Bivariate Data
• 5.1: Correlation (9)
• 5.2: Linear Regression: Fitting a Line to Bivariate Data (10)
• 5.3: Assessing the Fit of a Line (13)
• 5.4: Nonlinear Relationships and Transformations (2)
• 5.5: Logistic Regression (4)
• 5.6: Interpreting and Communicating the Results of Statistical Analyses
• 5: Chapter Review (7)
• 5: Active Example (9)

• Chapter 6: Probability
• 6.1: Chance Experiments and Events (7)
• 6.2: Definition of Probability
• 6.3: Basic Properties of Probability (10)
• 6.4: Conditional Probability (8)
• 6.5: Independence (9)
• 6.6: Some General Probability Rules (8)
• 6.7: Estimating Probabilities Empirically Using Simulation (3)
• 6: Chapter Review
• 6: Active Example (10)

• 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 (16)
• 7.5: Binomial and Geometric Distributions (16)
• 7.6: Normal Distributions (17)
• 7.7: Checking for Normality and Normalizing Transformations (2)
• 7.8: Using the Normal Distribution to Approximate a Discrete Distribution (7)
• 7: Chapter Review (16)
• 7: Active Example (13)

• 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: Active Example (4)

• Chapter 9: Estimation Using a Single Sample
• 9.1: Point Estimation (9)
• 9.2: Large-Sample Confidence Interval for a Population Proportion (7)
• 9.3: Confidence Interval for Population Mean (13)
• 9.4: Interpreting and Communicating the Results of Statistical Analyses
• 9: Chapter Review (9)
• 9: Active Example (9)

• Chapter 10: Hypothesis Testing Using a Single Sample
• 10.1: Hypotheses and Test Procedures (7)
• 10.2: Errors in Hypotheses Testing (3)
• 10.3: Large-Sample Hypothesis Tests for a Population Proportion (19)
• 10.4: Hypothesis Tests for a Population Mean (5)
• 10.5: Power and Probability of Type II Error (2)
• 10.6: Interpreting and Communicating the Results of Statistical Analyses
• 10: Chapter Review (1)
• 10: Active Example (8)

• Chapter 11: Comparing Two Populations or Treatments
• 11.1: Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples (15)
• 11.2: Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples (4)
• 11.3: Large Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions (8)
• 11.4: Interpreting and Communicating the Results of Statistical Analyses
• 11: Chapter Review (11)
• 11: Active Example (9)

• Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
• 12.1: Chi-Square Tests for Univariate Data (13)
• 12.2: Tests for Homogeneity and Independence in a Two-way Table (17)
• 12.3: Interpreting and Communicating the Results of Statistical Analyses
• 12: Chapter Review
• 12: Active Example (8)

• Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
• 13.1: Simple Linear Regression Model (9)
• 13.2: Inferences About the Slope of the Population Regression Line (5)
• 13.3: Checking Model Adequacy (3)
• 13.4: Inferences Based on the Estimated Regression Line (5)
• 13.5: Inferences About the Population Correlation Coefficient
• 13.6: Interpreting and Communicating the Results of Statistical Analyses
• 13: Chapter Review (1)
• 13: Active Example (7)

• Chapter 14: Multiple Regression Analysis
• 14.1: Multiple Regression Models (10)
• 14.2: Fitting a Model and Assessing Its Utility (8)
• 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: Active Example (5)

• Chapter 15: Analysis of Variance
• 15.1: Single-Factor ANOVA and the F Test (20)
• 15.2: Multiple Comparisons (3)
• 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: Active Example (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
• 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: Active Example

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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
E - End of Section Exercise
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 18 003 004 005 006 007 008 009 010 011 012 013 015 019 020 021 024 025 026
Chapter 2: Collecting Data Sensibly
2.E 18 001 006 007 009 014 015 016 024 025 027 028 030 031 043 045 057 058 060
Chapter 3: Graphical Methods for Describing Data
3.AE 5 008 010 011 014 015
3.E 31 001 002 005 006 009 010 015 016 017 018 019 020 021 022 024 025 026 027 029 030 031 033 034 037 039 050 056 059 060 063 064
Chapter 4: Numerical Methods for Describing Data
4.AE 10 001 004 005 007 008 009 012 014 015 018
4.E 46 001 002 003 004 005 007 011 012 013 014 015 016 019 020 022 023 024 025 026 027 028 029 031 033 035 036 037 039 041 042 043 044 048 049 050 051 052ab 055 056 058a 059ab 060 061 062 068abcd 069abcd
Chapter 5: Summarizing Bivariate Data
5.AE 9 001 005 007 011 013 014 017 018 020
5.E 45 001 002 005 006 008 009 010 012 013 017 018 021 023 024 025 028 029 030 035 036 038 039 040 041 042 043 044 045 046 048 049 051 053 055 061 062 063 064 066 067 069 070 071 073 076
Chapter 6: Probability
6.AE 10 010 011 013 014 017 022 024 027 028 030
6.E 45 003 004 005 006 007 009 010 013 017 019 020 022 023 024 025 026 027 028 029 030 033 034 035 036 037 047 048 049 051 054 055 056 057 058 059 060 061 066 068 071 072 073 075 077 078
Chapter 7: Random Variables and Probability Distributions
7.AE 13 005 007 008 012 015 017 018 020 021 023 025 027 034
7.E 95 001 002 004 005 006 007 008 009 011 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 037 038 039 040 041 043 044 045 046 047 048 049 051 052 054 055 056 058 059 060 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 088 089 093 094 095 096 097 098 099 103 104 105 106 107 108 109 110 111 112 113 114 115 117 121 122
Chapter 8: Sampling Variability and Sampling Distributions
8.AE 4 004 005 006 009
8.E 26 003 004 007 010 011 013 014 016 017 018 019 021 022 023 025 026 027 028 029 030 031 032 033 034 035 037
Chapter 9: Estimation Using a Single Sample
9.AE 9 002 003 004 005 006 007 008 009 011
9.E 38 001 003 004 005 006 007 008 009 010 012 013 017 018 021 025 029 030 031 032 033 035 040 041 043 044 045 047 048 049 051 057 058 059 065 067 068 069 070
Chapter 10: Hypothesis Testing Using a Single Sample
10.AE 8 008 009 010 011 013 014 015 017
10.E 37 002 006 007 008 009 010 011 014 015 019 024 025 026 027 028 029 030 031 032 033 034 036 037 038 039 040 041 042 043 045 049 050 061 063 067 071 086
Chapter 11: Comparing Two Populations or Treatments
11.AE 9 001 002 003 006 007 008 009 010 011
11.E 38 003 004 005 008 009 010 012 013 019 020 021 022 025 026 027 031 032 033 039 044 045 046 048 050 053 055 056 063 067 068 073 074 075 076 083 085 087 089
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 30 001 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 020 021 022 023 024 025 026 027 028 029 030 033 034
Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
13.AE 7 002 003 004 005 011 012 013
13.E 23 001 002 003 005 007 008 009 010 011 013 015 016 017 025 027 029 031 036 037 039 045 046 075
Chapter 14: Multiple Regression Analysis
14.AE 5 002 007 008 009 010
14.E 18 002 004 005 006 007 008 011 012 013 014 015 016 017 018 019 022 026 027
Chapter 15: Analysis of Variance
15.AE 3 003 004 005
15.E 23 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 018 019 021 022 023 024 027
Total 633