Elementary Statistics 11th edition

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

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  • College Success Toolkit
  • Math Mindset Modules - 2021 Update
  • Johnson and Kuby Elementary Statistics 11e: Stats in Practice Video Questions
  • Johnson and Kuby Elementary Statistics 11e: Labs - TI Calculators
  • Johnson and Kuby Elementary Statistics 11e: Labs - Excel
  • Johnson and Kuby Elementary Statistics 11e: Labs - JMP
  • Johnson and Kuby Elementary Statistics 11e: Labs - Minitab
  • Johnson and Kuby Elementary Statistics 11e: Labs - SPSS
  • Johnson and Kuby Elementary Statistics 11e: Labs - R
  • Johnson and Kuby Elementary Statistics 11e: Project Milestones

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  • Chapter 1: Statistics
    • 1: Stats in Practice Video Questions
    • 1.1: What is Statistics?
    • 1.2: Measurability and Variability
    • 1.3: Data Collection
    • 1.4: Statistics and Technology
    • 1: Chapter Exercises
    • 1: Active Examples
    • 1: Extra Problems
    • 1: Concept Questions
    • 1: Labs
    • 1: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
    • 2: Stats in Practice Video Question
    • 2.1: Graphs, Pareto Diagrams, and Stem-and-Leaf Displays
    • 2.2: Frequency Distributions and Histograms
    • 2.3: Measures of Central Tendency
    • 2.4: Measures of Dispersion
    • 2.5: Measures of Position
    • 2.6: Interpreting and Understanding Standard Deviation
    • 2.7: The Art of Statistical Deception
    • 2: Chapter Exercises
    • 2: Active Examples
    • 2: Extra Problems
    • 2: JMP Simulations
    • 2: Concept Questions
    • 2: Labs
    • 2: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
    • 3: Stats in Practice Video Question
    • 3.1: Bivariate Data
    • 3.2: Linear Correlation
    • 3.3: Linear Regression
    • 3: Chapter Exercises
    • 3: Active Examples
    • 3: Extra Problems
    • 3: JMP Simulations
    • 3: Concept Questions
    • 3: Labs
    • 3: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 4: Probability
    • 4: Stats in Practice Video Question
    • 4.1: Probability of Events
    • 4.2: Conditional Probability of Events
    • 4.3: Rules of Probability
    • 4.4: Mutually Exclusive Events
    • 4.5: Independent Events
    • 4.6: Are Mutual Exclusiveness and Independence Related?
    • 4: Chapter Exercises
    • 4: Active Examples
    • 4: Extra Problems
    • 4: Concept Questions
    • 4: Labs
    • 4: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 5: Probability Distributions (Discrete Variables)
    • 5: Stats in Practice Video Questions
    • 5.1: Random Variables
    • 5.2: Probability Distributions of a Discrete Random Variable
    • 5.3: The Binomial Probability Distribution
    • 5: Chapter Exercises
    • 5: Active Examples
    • 5: Extra Problems
    • 5: Concept Questions
    • 5: Labs
    • 5: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 6: Normal Probability Distributions
    • 6: Stats in Practice Video Question
    • 6.1: Normal Probability Distributions
    • 6.2: The Standard Normal Distribution
    • 6.3: Applications of Normal Distributions
    • 6.4: Notation
    • 6.5: Normal Approximation of the Binomial
    • 6: Chapter Exercises
    • 6: Active Examples
    • 6: Extra Problems
    • 6: Concept Questions
    • 6: Labs
    • 6: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 7: Sample Variability
    • 7: Stats in Practice Video Question
    • 7.1: Sampling Distributions
    • 7.2: The Sampling Distribution of Sample Means
    • 7.3: Application of the Sampling Distribution of Sample Means
    • 7: Chapter Exercises
    • 7: Active Examples
    • 7: Extra Problems
    • 7: Concept Questions
    • 7: Labs
    • 7: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 8: Introduction to Statistical Inferences
    • 8: Stats in Practice Video Question
    • 8.1: The Nature of Estimation
    • 8.2: Estimation of Mean μ (σ Known)
    • 8.3: The Nature of Hypothesis Testing
    • 8.4: Hypothesis Test of Mean μ (σ Known): A Probability-Value Approach
    • 8.5: Hypothesis Test of Mean μ (σ Known ): A Classical Approach
    • 8: Chapter Exercises
    • 8: Active Examples
    • 8: Extra Problems
    • 8: JMP Simulations
    • 8: Concept Questions
    • 8: Labs
    • 8: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 9: Inferences Involving One Population
    • 9: Stats in Practice Video Questions
    • 9.1: Inferences About Mean μ (σ Unknown)
    • 9.2: Inferences About the Binomial Probability of Success
    • 9.3: Inferences About the Variance and Standard Deviation
    • 9: Chapter Exercises
    • 9: Active Examples
    • 9: Extra Problems
    • 9: JMP Simulations
    • 9: Concept Questions
    • 9: Labs
    • 9: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 10: Inferences Involving Two Populations
    • 10: Stats in Practice Video Question
    • 10.1: Dependent and Independent Samples
    • 10.2: Inferences Concerning the Mean Difference Using Two Dependent Samples
    • 10.3: Inferences Concerning the Difference Between Means Using Two Independent Samples
    • 10.4: Inferences Concerning the Difference Between Proportions Using Two Independent Samples
    • 10.5: Inferences Concerning the Ratio of Variances Using Two Independent Samples
    • 10: Chapter Exercises
    • 10: Active Examples
    • 10: Extra Problems
    • 10: JMP Simulations
    • 10: Concept Questions
    • 10: Labs
    • 10: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 11: Applications of Chi-Square
    • 11: Stats in Practice Video Question
    • 11.1: Chi-Square Statistic
    • 11.2: Inferences Concerning Multinomial Experiments
    • 11.3: Inferences Concerning Contingency Tables
    • 11: Chapter Exercises
    • 11: Active Examples
    • 11: Extra Problems
    • 11: JMP Simulations
    • 11: Concept Questions
    • 11: Labs
    • 11: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 12: Analysis of Variance
    • 12: Stats in Practice Video Question
    • 12.1: Introduction to the Analysis of Variance Technique
    • 12.2: The Logic Behind ANOVA
    • 12.3: Applications of Single-Factor ANOVA
    • 12: Chapter Exercises
    • 12: Active Examples
    • 12: Extra Problems
    • 12: Concept Questions
    • 12: Labs
    • 12: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 13: Linear Correlation and Regression Analysis
    • 13: Stats in Practice Video Question
    • 13.1: Linear Correlation Analysis
    • 13.2: Inferences about the Linear Correlation Coefficient
    • 13.3: Linear Regression Analysis
    • 13.4: Inferences Concerning the Slope of the Regression Line
    • 13.5: Confidence Intervals for Regression
    • 13.6: Understanding the Relationship between Correlation and Regression
    • 13: Chapter Exercises
    • 13: Active Examples
    • 13: Extra Problems
    • 13: JMP Simulations
    • 13: Concept Questions
    • 13: Labs
    • 13: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter 14: Elements of Nonparametric Statistics
    • 14: Stats in Practice Video Question
    • 14.1: Nonparametric Statistics
    • 14.2: The Sign Test
    • 14.3: The Mann-Whitney U Test
    • 14.4: The Runs Test
    • 14.5: Rank Correlation
    • 14: Chapter Exercises
    • 14: Active Examples
    • 14: Extra Problems
    • 14: Concept Questions
    • 14: Labs
    • 14: Test Bank
    • Extra Problem
    • Active Examples

  • Chapter PJT: Project
    • PJT.1: Project

Questions Available within WebAssign

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Group Quantity Questions
Chapter 1: Statistics
1 0  
Chapter 2: Descriptive Analysis and Presentation of Single Variable Data
2 0  
Chapter 3: Descriptive Analysis and Presentation of Bivariate Data
3 0  
Chapter 4: Probability
4 0  
Chapter 5: Probability Distributions (Discrete Variables)
5 0  
Chapter 6: Normal Probability Distributions
6 0  
Chapter 7: Sample Variability
7 0  
Chapter 8: Introduction to Statistical Inferences
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Chapter 9: Inferences Involving One Population
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Chapter 10: Inferences Involving Two Populations
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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
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Chapter 14: Elements of Nonparametric Statistics
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