Introduction to Statistics and Data Analysis 5th edition

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Roxy Peck, Chris Olsen 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 (5)
    • 1.4: Types of Data and Some Simple Graphical Displays (7)
    • 1: Chapter Review (2)
    • 1: Active Examples (2)

  • Chapter 2: Collecting Data Sensibly
    • 2.1: Statistical Studies: Observation and Experimentation (3)
    • 2.2: Sampling (5)
    • 2.3: Simple Comparative Experiments
    • 2.4: More on Experimental Design (2)
    • 2.5: Interpreting and Communicating the Results of Statistical Analyses
    • 2: Chapter Review (2)
    • 2: Active Examples

  • Chapter 3: Graphical Methods for Describing Data
    • 3.1: Displaying Categorical Data: Comparative Bar Charts and Pie Charts (3)
    • 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: Active Examples (2)
    • 3: Cumulative Review Exercises (5)

  • Chapter 4: Numerical Methods for Describing Data
    • 4.1: Describing the Center of a Data Set (4)
    • 4.2: Describing Variability in a Data Set (8)
    • 4.3: Summarizing a Data Set: Boxplots (4)
    • 4.4: Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores (8)
    • 4.5: Interpreting and Communicating the Results of Statistical Analyses
    • 4: Chapter Review (6)
    • 4: Active Examples (4)

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

  • 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)
    • 6: Active Examples (6)

  • 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 (11)
    • 7.5: Binomial and Geometric Distributions (13)
    • 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: Active Examples (9)
    • 7: Cumulative Review Exercises (8)

  • 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)
    • 8: Active Examples (3)

  • Chapter 9: Estimation Using a Single Sample
    • 9.1: Point Estimation (8)
    • 9.2: Large-Sample Confidence Interval for a Population Proportion (14)
    • 9.3: Confidence Interval for Population Mean (8)
    • 9.4: Interpreting and Communicating the Results of Statistical Analyses
    • 9: Chapter Review (5)
    • 9: Active Examples (6)

  • Chapter 10: Hypothesis Testing Using a Single Sample
    • 10.1: Hypotheses and Test Procedures (4)
    • 10.2: Errors in Hypotheses Testing (3)
    • 10.3: Large-Sample Hypothesis Tests for a Population Proportion (12)
    • 10.4: Hypothesis Tests for a Population Mean (12)
    • 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: Active Examples (8)
    • 10: Cumulative Review Exercises (4)

  • Chapter 11: Comparing Two Populations or Treatments
    • 11.1: Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples (12)
    • 11.2: Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples (7)
    • 11.3: Large-Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions (11)
    • 11.4: Interpreting and Communicating the Results of Statistical Analyses
    • 11: Chapter Review (2)
    • 11: Active Examples (4)

  • Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
    • 12.1: Chi-Square Tests for Univariate Data (10)
    • 12.2: Tests for Homogeneity and Independence in a Two-way Table (11)
    • 12.3: Interpreting and Communicating the Results of Statistical Analyses
    • 12: Chapter Review (3)
    • 12: Active Examples (7)

  • Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
    • 13.1: Simple Linear Regression Model (5)
    • 13.2: Inferences About the Slope of the Population Regression Line (4)
    • 13.3: Checking Model Adequacy
    • 13.4: Inferences Based on the Estimated Regression Line
    • 13.5: Inferences About the Population Correlation Coefficient
    • 13.6: Interpreting and Communicating the Results of Statistical Analyses
    • 13: Chapter Review
    • 13: Active Examples (3)
    • 13: Cumulative Review Exercises (7)

  • 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: Chapter Review
    • 14: 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: Chapter Review
    • 15: 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
    • 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: Chapter Review
    • 16: Active Examples


Roxy Peck, Chris Olsen, and Jay Devore's 5th edition of Introduction to Statistics uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. The WebAssign component for this text engages students with an interactive eBook and several other resources.

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Group Quantity Questions
Chapter 1: The Role of Statistics and the Data Analysis Process
1.AE 2 002 007
1.E 14 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 017 018 019 021 022 024 026 027 028 029 030 031 032 034 035
Chapter 2: Collecting Data Sensibly
2.E 12 002 003 004 005 006 007 008 009 010 011 012 013 014 016 017 018 019 021 022 023 024 025 026 027 028 030 031 032 033 034 035 036 039 040 044 045 046 047 048 049 050 051 052 053 054 056 057 058 059 060 061 062 063 064 066 067 069 070 071 073 075 076 077
Chapter 3: Graphical Methods for Describing Data
3.AE 2 009 011
3.C 5 001 002 003 005 006 007 008 010 011 012 013 014 015
3.E 16 001 003 004 006 007 008 009 010 011 012 014 016 017 018 019 020 021 022 023 024 025 026 028 030 032 033 034 036 037 038 039 040 041 042 043 044 045 046 047 048 050 051 052 053 055 056 057 058 059 063 064 065 066 067 068 069 070 071
Chapter 4: Numerical Methods for Describing Data
4.AE 4 004 014 015 018
4.E 30 001 002 004 005 006 007 008 009 010 013 014 016 017 018 019 020 021 022 023 024 025 026 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 052 053 054 057 060 061 062 063 064 065 066 067 069
Chapter 5: Summarizing Bivariate Data
5.C 8 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019
5.E 21 001 002 003 006 007 008 009 010 012 014 015 016 017 018 021 023 024 026 028 029 030 032 034 036 037 038 039 040 041 042 043 044 045 046 047 048 051 052 053 054 055 056 057 058 059 060 061 062 063 066 067
Chapter 6: Probability
6.AE 6 010 014 017 024 027 030
6.E 37 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 020 021 022 023 025 026 027 028 029 030 031 032 033 034 035 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 066 068 069 071 072 073 074 076 078 080 081 082 084 087 088 089 090 094 096 099 100
Chapter 7: Random Variables and Probability Distributions
7.AE 9 008 009 013 016 022 023 025 029 035
7.C 8 001 002 004 005 006 007 008 009 010 012 013 014 015 016 018 019 021
7.E 81 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 038 039 041 042 044 045 046 047 048 049 050 051 052 053 054 055 057 058 060 061 062 063 064 065 066 067 068 069 070 071 072 074 075 076 078 079 080 081 084 088 094 095 096 097 098 100 101 102 103 106 107 108 109 110 111 112 114 115 116 117 118 119 121 124 125
Chapter 8: Sampling Variability and Sampling Distributions
8.AE 3 005 006 009
8.E 25 003 004 006 007 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 037
Chapter 9: Estimation Using a Single Sample
9.AE 6 005 006 007 009 010 011
9.E 35 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 029 031 032 034 035 036 037 038 039 040 041 042 044 048 050 051 052 053 054 056 057 058 059 062 063 064 065 066
Chapter 10: Hypothesis Testing Using a Single Sample
10.AE 8 008 009 010 011 013 014 015 017
10.C 4 001 004 005 006 007 008 009 010 011 012 013 014
10.E 36 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 042 043 044 045 046 049 050 051 052 053 054 055 057 058 060 061 062 063 064 065 066 067 068 069 070 071 074 077 079 080
Chapter 11: Comparing Two Populations or Treatments
11.AE 4 003 006 007 008
11.E 32 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 018 020 022 023 024 025 026 027 029 030 031 034 035 036 037 038 039 040 041 042 043 044 045 046 048 049 051 052 053 054 055 057 058 059 060 061 062 065 066 067 068 069 072 073 074 075 076 078 079 080 081 082
Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
12.AE 7 001 002 004 005 006 007 008
12.E 24 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 020 021 022 023 024 025 026 027 028 029 031 032 033 034 035 036 037
Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
13.AE 3 002 003 005
13.C 7 001 002 004 005 007 008 009 010 011 012 013 014 015 017
13.E 9 001 002 003 004 005 006 007 008 009 011 015 016 017 018 019 020 021 022 024 025 026 027 028 030 031 032
Chapter 14: Multiple Regression Analysis
14.AE 5 002 007 008 009 010
14.E 16 001 002 003 004 005 006 007 008 009 010 011 013 014 015 016 017 018 019 020 021 022 024 025 027 028 029 030 031
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 491 (403)