Discovering Statistics 3rd edition

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Daniel T. Larose
Publisher: W. H. Freeman

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  • Chapter 1: The Nature of Statistics
    • 1.1: Data Stories: The People Behind the Numbers (3)
    • 1.2: An Introduction to Statistics (6)
    • 1.3: Gathering Data (10)
    • 1: Review Exercises
    • 1: Quiz

  • Chapter 2: Describing Data Using Graphs and Tables
    • 2.1: Graphs and Tables for Categorical Data (12)
    • 2.2: Graphs and Tables for Quantitative Data (10)
    • 2.3: Further Graphs and Tables for Quantitative Data (6)
    • 2.4: Graphical Misrepresentations of Data (3)
    • 2: Review Exercises
    • 2: Quiz

  • Chapter 3: Describing Data Numerically
    • 3.1: Measures of Center (16)
    • 3.2: Measures of Variability (12)
    • 3.3: Working with Grouped Data (5)
    • 3.4: Measures of Relative Position and Outliers (12)
    • 3.5: Five-Number Summary and Boxplots (7)
    • 3: Review Exercises
    • 3: Quiz

  • Chapter 4: Correlation and Regression
    • 4.1: Scatterplots and Correlation (9)
    • 4.2: Introduction to Regression (9)
    • 4.3: Further Topics in Regression Analysis (5)
    • 4: Review Exercises
    • 4: Quiz

  • Chapter 5: Probability
    • 5.1: Introducing Probability (8)
    • 5.2: Combining Events (7)
    • 5.3: Conditional Probability (16)
    • 5.4: Counting Methods (10)
    • 5: Review Exercises
    • 5: Quiz

  • Chapter 6: Probability Distributions
    • 6.1: Discrete Random Variables (15)
    • 6.2: Binomial Probability Distribution (15)
    • 6.3: Poisson Probability Distribution (8)
    • 6.4: Continuous Random Variables and the Normal Probability Distribution (26)
    • 6.5: Applications of the Normal Distribution (10)
    • 6.6: Normal Approximation to the Binomial Probability Distribution (8)
    • 6: Review Exercises
    • 6: Quiz

  • Chapter 7: Sampling Distributions
    • 7.1: Central Limit Theorem for Means (13)
    • 7.2: Central Limit Theorem for Proportions (8)
    • 7: Review Exercises
    • 7: Quiz

  • Chapter 8: Confidence Intervals
    • 8.1: Z Interval for the Population Mean (15)
    • 8.2: t Interval for the Population Mean (11)
    • 8.3: Z Interval for the Population Proportion (14)
    • 8.4: Confidence Intervals for the Population Variance and Standard Deviation (6)
    • 8: Review Exercises
    • 8: Quiz

  • Chapter 9: Hypothesis Testing
    • 9.1: Introduction to Hypothesis Testing (6)
    • 9.2: Z Test for the Population Mean: Critical-Value Method (10)
    • 9.3: Z Test for the Population Mean: p-Value Method (15)
    • 9.4: t Test for the Population Mean (13)
    • 9.5: Z Test for the Population Proportion (12)
    • 9.6: Chi-Square Test for the Population Standard Deviation (8)
    • 9.7: Probability of a Type II Error and the Power of a Hypothesis Test (7)
    • 9: Review Exercises
    • 9: Quiz

  • Chapter 10: Two-Sample Inference
    • 10.1: Inference for Mean Difference—Dependent Samples (7)
    • 10.2: Inference for Two Independent Means (11)
    • 10.3: Inference for Two Independent Proportions (8)
    • 10.4: Inference for Two Independent Standard Deviations (9)
    • 10: Review Exercises
    • 10: Quiz

  • Chapter 11: Categorical Data Analysis
    • 11.1: Χ2 Goodness of Fit Test (6)
    • 11.2: Χ2 Tests for Independence and for Homogeneity of Proportions (8)
    • 11: Review Exercises
    • 11: Quiz

  • Chapter 12: Analysis of Variance
    • 12.1: One-Way Analysis of Variance (ANOVA) (7)
    • 12.2: Multiple Comparisons (4)
    • 12.3: Randomized Block Design (5)
    • 12.4: Two-Way ANOVA (2)
    • 12: Review Exercises
    • 12: Quiz

  • Chapter 13: Inference in Regression
    • 13.1: Inference About the Slope of the Regression Line (8)
    • 13.2: Confidence Intervals and Prediction Intervals (4)
    • 13.3: Multiple Regression (6)
    • 13: Review Exercises
    • 13: Quiz

  • Chapter 14: Nonparametric Statistics (online only)
    • 14.1: Introduction to Nonparametric Statistics (1)
    • 14.2: Sign Test (7)
    • 14.3: Wilcoxon Signed Rank Test for Matched-Pair Data (4)
    • 14.4: Wilcoxon Rank Sum Test for Two Independent Samples (2)
    • 14.5: Kruskal-Wallis Test (2)
    • 14.6: Rank Correlation Test (2)
    • 14.7: Runs Test for Randomness (2)
    • 14: Review Exercises
    • 14: Quiz


Dan Larose's Discovering Statistics 3rd edition is the ideal text for instructors who want to teach the basics of statistical computation as well as how to interpret and apply the results of those computations. Using real data, contemporary examples, step-by-step solutions, extensive pedagogy, and support for common statistical software options, the text familiarizes students with essential computational skills, while helping them build the conceptual understanding needed to interpret and explain their findings. The WebAssign component of this title features an interactive eBook, video resources and a Course Pack of premade assignments.

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  • Student Resources include the Student Solutions Manual and Practice Quizzes.

Questions Available within WebAssign

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Group Quantity Questions
Chapter 1: The Nature of Statistics
1.1 3 001 005 007
1.2 6 048 057 059 065 070 077
1.3 10 008 014 016 019 025 028 034 035 047 056
Chapter 2: Describing Data Using Graphs and Tables
2.1 12 023 026 029 034 036 037 049 056 059 063 080 105
2.2 10 032 043 054 057 063 085 090 096 097 104
2.3 6 010 015 018 020 025 028
2.4 3 008 009 010
Chapter 3: Describing Data Numerically
3.1 16 013 023 028 033 039 042 046 047 055 063 070 080 083 094 097 099
3.2 12 013 021 024 037 047 051 060 065 068 069 082 086
3.3 5 007 013 017 022 024
3.4 12 008 012 020 029 032 042 047 055 068 084 095 117
3.5 7 008 016 024 025 029 046 055
Chapter 4: Correlation and Regression
4.1 9 011 017 020 021 023 027 033 036 046
4.2 9 007 021 034 037 049 053 082 083 084
4.3 5 021 029 036 057 060
Chapter 5: Probability
5.1 8 022 027 035 040 053 069 091 093
5.2 7 010 019 023 058 062 064 100
5.3 16 018 031 036 041 056 061 069 071 082 085 099 103 107 113 116 122
5.4 10 008 011 013 018 024 028 034 042 059 066
Chapter 6: Probability Distributions
6.1 15 010 013 019 029 031 034 039 048 059 063 068 080 084 087 088
6.2 15 010 018 025 027 032 039 042 048 050 055 059 061 064 068 069
6.3 8 007 010 013 016 020 024 026 027
6.4 26 011 014 020 024 028 033 042 046 052 058 062 063 066 070 074 082 096 099 101 103 107 110 112 116 118 122
6.5 10 005 008 014 015 018 025 032 034 039 044
6.6 8 004 006 012 016 019 022 025 027
Chapter 7: Sampling Distributions
7.1 13 010 018 024 027-032 047-052 059-064 071-076 086 091 096 100 106 122
7.2 8 009 016 021 028 029 037 041 046
Chapter 8: Confidence Intervals
8.1 15 013 022 029 033 035 044 048 053 055 059 061 065 072 074 076
8.2 11 005 006 015 019 026 033 037 042 044 046 063
8.3 14 004 010 018 022 026 029 030 034 042 047 050 052 059 060
8.4 6 011 017 021 029 034 038
Chapter 9: Hypothesis Testing
9.1 6 013 017 021 024 028 032
9.2 10 010 016 020 025 028 031 051 052 056 068
9.3 15 009 014 015 022 026 030 041 046 047 051 056 058 068 079 081
9.4 13 005 008 013 018 020 025 028 034 037 042 043 050 051
9.5 12 008 013 016 017 020 021 024 028 031 033 039 045
9.6 8 008 012 016 018 022 023 026 027
9.7 7 007 014 018 027 030 032 033
Chapter 10: Two-Sample Inference
10.1 7 012 017 019 022 029 031 033
10.2 11 005 010 014 019 022 023 025 028 031 034 040
10.3 8 006 008 009 011 013 021 025 030
10.4 9 010 015 020 022 025 027 032 034 035
Chapter 11: Categorical Data Analysis
11.1 6 012 015 021 025 030 033
11.2 8 009 011 016 020 025 027 029 039
Chapter 12: Analysis of Variance
12.1 7 013 016 022 027 029 033 036
12.2 4 017 029 031 036
12.3 5 006 010 011 016 020
12.4 2 015 021
Chapter 13: Inference in Regression
13.1 8 008 017 019 029 038 039 052 056
13.2 4 005 013 017 023
13.3 6 012 020 021 022 023 037
Chapter 14: Nonparametric Statistics (online only)
14.1 1 006
14.2 7 015 019 022 026 029 032 034
14.3 4 016 021 024 027
14.4 2 013 017
14.5 2 016 021
14.6 2 018 026
14.7 2 019 022
Total 491