STAT 2nd edition

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Robert R. Johnson and Patricia J. Kuby
Publisher: Cengage Learning

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  • Chapter 1: Statistics
    • 1.1: What is Statistics? (7)
    • 1.2: Measurability and Variability (3)
    • 1.3: Data Collection (12)
    • 1.4: Statistics and Technology
    • Extra Problems
    • Extra Problems
    • Extra Problems (12)
    • Active Examples

  • Chapter 2: Descriptive Analysis and Presentation of Single-Variable Data
    • 2.1: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays (1)
    • 2.2: Frequency Distributions and Histograms (2)
    • 2.3: Measures of Central Tendency (1)
    • 2.4: Measures of Dispersion (3)
    • 2.5: Measures of Position (3)
    • 2.6: Interpreting and Understanding Standard Deviation (4)
    • 2.7: The Art of Statistical Deception
    • Extra Problems
    • Extra Problems
    • Extra Problems (11)
    • Active Examples

  • Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
    • 3.1: Bivariate Data (4)
    • 3.2: Linear Correlation (5)
    • 3.3: Linear Regression (4)
    • Extra Problems
    • Extra Problems
    • Extra Problems (14)
    • Active Examples

  • Chapter 4: Probability
    • 4.1: Probability of Events (5)
    • 4.2: Conditional Probability of Events (1)
    • 4.3: Rules of Probability (7)
    • 4.4: Mutually Exclusive Events (6)
    • 4.5: Independent Events (4)
    • 4.6: Are Mutual Exclusiveness and Independence Related? (2)
    • Extra Problems
    • Extra Problems
    • Extra Problems (18)
    • Active Examples

  • Chapter 5: Probability Distributions (Discrete Variables)
    • 5.1: Random Variables (2)
    • 5.2: Probability Distributions of a Discrete Random Variable (9)
    • 5.3: Binomial Probability Distribution (11)
    • Extra Problems
    • Extra Problems
    • Extra Problems (7)
    • Active Examples

  • Chapter 6: Normal Probability Distributions
    • 6.1: Normal Probability Distributions (1)
    • 6.2: The Standard Normal Distribution (12)
    • 6.3: Applications of Normal Distributions (3)
    • 6.4: Notation (5)
    • 6.5: Normal Approximation of the Binomial (6)
    • Extra Problems
    • Extra Problems
    • Extra Problems (12)
    • Active Examples

  • Chapter 7: Sample Variability
    • 7.1: Sampling Distributions (3)
    • 7.2: The Sampling Distribution of Sample Means (5)
    • 7.3: Application of the Sampling Distribution of Sample Means (10)
    • Extra Problems
    • Extra Problems
    • Extra Problems (4)
    • Active Examples

  • Chapter 8: Introduction to Statistical Inferences
    • 8.1: The Nature of Estimation (3)
    • 8.2: Estimation of Mean µ (σ Known) (8)
    • 8.3: The Nature of Hypothesis Testing (7)
    • 8.4: Hypothesis Test of Mean µ (σ Known): A Probability-Value Approach (5)
    • 8.5: Hypothesis Test of Mean µ (σ Known): A Classical Approach (2)
    • Extra Problems
    • Extra Problems
    • Extra Problems (14)
    • Active Examples

  • Chapter 9: Inferences Involving One Population
    • 9.1: Inferences about the Mean µ (σ Unknown) (8)
    • 9.2: Inferences about the Binomial Probability of Success (7)
    • 9.3: Inferences about the Variance and Standard Deviation (6)
    • Extra Problems
    • Extra Problems
    • Extra Problems (15)
    • Active Examples

  • Chapter 10: Inferences Involving Two Populations
    • 10.1: Dependent and Independent Samples
    • 10.2: Inferences Concerning the Mean Difference Using Two Dependent Samples (7)
    • 10.3: Inferences Concerning the Difference between Means Using Two Independent Samples (4)
    • 10.4: Inferences Concerning the Difference between Proportions Using Two Independent Samples (4)
    • 10.5: Inferences Concerning the Ratio of Variances Using Two Independent Samples (5)
    • Extra Problems
    • Extra Problems
    • Extra Problems (6)
    • Active Examples

  • Chapter 11: Applications of Chi-Square
    • 11.1: Chi-Square Statistic (3)
    • 11.2: Inferences Concerning Multinomial Experiments (7)
    • 11.3: Inferences Concerning Contingency Tables (3)
    • Extra Problems
    • Extra Problems
    • Extra Problems (12)
    • Active Examples

  • Chapter 12: Analysis of Variance
    • 12.1: Analysis of Variance Technique — An Introduction (2)
    • 12.2: The Logic behind ANOVA (2)
    • 12.3: Applications of Single-Factor ANOVA (12)
    • Extra Problems
    • Extra Problems
    • Extra Problems (13)
    • Active Examples

  • Chapter 13: Linear Correlation and Regression Analysis
    • 13.1: Linear Correlation Analysis (3)
    • 13.2: Inferences about the Linear Correlation Coefficient (7)
    • 13.3: Linear Regression Analysis (1)
    • 13.4: Inferences Concerning the Slope of the Regression Line (4)
    • 13.5: Confidence Intervals for Regression (5)
    • 13.6: Understanding the Relationship between Correlation and Regression
    • Extra Problems
    • Extra Problems
    • Extra Problems (8)
    • Active Examples

  • Chapter 14: Elements of Nonparametric Statistics
    • 14.1: Nonparametric Statistics (9)
    • 14.2: The Sign Test (2)
    • 14.3: The Mann-Whitney U Test (7)
    • 14.4: The Runs Test (6)
    • 14.5: Rank Correlation
    • Extra Problems
    • Extra Problems
    • Extra Problems (11)
    • 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.

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Group Quantity Questions
Chapter 1: Statistics
1.E 34 015 017 018 019 021 023 025 027 028 030 031 032 033 036 038 040 041 042 043 046 047 048 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP
Chapter 2: Descriptive Analysis and Presentation of Single-Variable Data
2.E 25 004.alt 007.alt 008 016 019 020 021 023 025 026 028 029 030 031.alt 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3.E 27 002.alt 006 007 008 012 014 016 017 018 023 026 027 029 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP
Chapter 4: Probability
4.E 43 001 002 006 007 011 012 020 022 023 026 026.alt 027 027.alt 028 031 032 033 034 035 036 037 042.alt 044 047 049 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP 516.XP 517.XP 518.XP
Chapter 5: Probability Distributions (Discrete Variables)
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Chapter 6: Normal Probability Distributions
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Chapter 7: Sample Variability
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Chapter 8: Introduction to Statistical Inferences
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Chapter 9: Inferences Involving One Population
9.E 36 001 006 007 009 011 015 017 018 019 021 027 028 030 031 033 034 035 036 039 040 042 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP 512.XP 513.XP 514.XP 515.XP
Chapter 10: Inferences Involving Two Populations
10.E 26 006 008 009 011 012 016 017 018 020 021 023 027 028 029 032 037 038 039 040 042 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP
Chapter 11: Applications of Chi-Square
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Chapter 12: Analysis of Variance
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Chapter 13: Linear Correlation and Regression Analysis
13.E 28 002 003 005 006 007 008 009 011 012 014 020 021 022 025 026 030 031 032 034 035 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP
Chapter 14: Elements of Nonparametric Statistics
14.E 35 002 003 004 005 007 008 009 010 012 014 015 023 024 025 026 027 029 033 034 036 037 040 041 044 501.XP 502.XP 503.XP 504.XP 505.XP 506.XP 507.XP 508.XP 509.XP 510.XP 511.XP
Total 437