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Published by Pearson (April 7, 2025) © 2025

Michael Sullivan | George Woodbury
    24 Months access
    €51,99
    ISBN-13: 9781292483603

    MyLab Statistics with Pearson eText Instant Access for Interactive Statistics: Informed Decisions Using Data, Global Edition ,3rd edition

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    Language: English

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    1: Data Collection

    • 1.1 Introduction to the Practice of Statistics
    • 1.2 Observational Studies versus Designed Experiments
    • 1.3 Simple Random Sampling
    • 1.4 Other Effective Sampling Methods
    • 1.5 Bias in Sampling
    • 1.6 The Design of Experiments
    • Chapter 1 Review
    • Chapter 1 Practice Test
    • Chapter 1 Projects

    2: Organizing and Summarizing Data

    • Preparing for Section 2.1: Organizing Qualitative Data
    • 2.1 Organizing Qualitative Data
    • Preparing for Section 2.2: Organizing Quantitative Data: The Popular Displays
    • 2.2 Organizing Quantitative Data: The Popular Displays
    • 2.3 Additional Displays of Quantitative Data
    • 2.4 Graphical Misrepresentations of Data
    • Chapter 2 Review
    • Chapter 2 Practice Test
    • Chapter 2 Projects

    3: Numerically Summarizing Data

    • Preparing for Section 3.1: Measures of Central Tendency
    • 3.1 Measures of Central Tendency
    • 3.2 Measures of Dispersion
    • Preparing for Section 3.3: Measures of Central Tendency and Dispersion from Grouped Data
    • 3.3 Measures of Central Tendency and Dispersion from Grouped Data
    • 3.4 Measures of Position
    • 3.5 The Five-Number Summary and Boxplots
    • Chapter 3 Review
    • Chapter 3 Practice Test
    • Chapter 3 Projects

    4: Describing the Relation between Two Variables

    • Preparing for Section 4.1: Scatter Diagrams and Correlation
    • 4.1 Scatter Diagrams and Correlation
    • Preparing for Section 4.2: Least-Squares Regression
    • 4.2 Least-Squares Regression
    • Preparing for Section 4.3: Diagnostics on the Least-Squares Regression Line
    • 4.3 Diagnostics on the Least-Squares Regression Line
    • Preparing for Section 4.4: Contingency Tables and Association
    • 4.4 Contingency Tables and Association
    • Chapter 4 Review
    • Chapter 4 Practice Test
    • Chapter 4 Projects

    5: Probability

    • Preparing for Section 5.1: Probability Rules
    • 5.1 Probability Rules
    • 5.2 The Addition Rule and Complements
    • 5.3 Independence and the Multiplication Rule
    • 5.4 Conditional Probability and the General Multiplication Rule
    • 5.5 Counting Techniques
    • 5.6 Simulation
    • 5.7 Putting It Together: Which Method Do I Use?
    • Chapter 5 Review
    • Chapter 5 Practice Test
    • Chapter 5 Projects

    6: Discrete Probability Distributions

    • Preparing for Section 6.1: Discrete Random Variables
    • 6.1 Discrete Random Variables
    • Preparing for Section 6.2: The Binomial Probability Distribution
    • 6.2 The Binomial Probability Distribution
    • 6.3 The Poisson Probability Distribution
    • Chapter 6 Review
    • Chapter 6 Practice Test
    • Chapter 6 Projects

    7: The Normal Probability Distribution

    • Preparing for Section 7.1: Properties of the Normal Distribution
    • 7.1 Properties of the Normal Distribution
    • Preparing for Section 7.2: Applications of the Normal Distribution
    • 7.2 Applications of the Normal Distribution
    • Preparing for Section 7.3: Assessing Normality
    • 7.3 Assessing Normality
    • Preparing for Section 7.4: The Normal Approximation to the Binomial Probability Distribution
    • 7.4 The Normal Approximation to the Binomial Probability Distribution
    • Chapter 7 Review
    • Chapter 7 Practice Test
    • Chapter 7 Projects

    8: Sampling Distributions

    • Preparing for Section 8.1: Distribution of the Sample Mean
    • 8.1 Distribution of the Sample Mean
    • Preparing for Section 8.2: Distribution of the Sample Proportion
    • 8.2 Distribution of the Sample Proportion
    • Chapter 8 Review
    • Chapter 8 Practice Test
    • Chapter 8 Projects

    9: Estimating the Value of a Parameter

    • Preparing for Section 9.1: Estimating a Population Proportion
    • 9.1 Estimating a Population Proportion
    • Preparing for Section 9.2: Estimating a Population Mean
    • 9.2 Estimating a Population Mean
    • 9.3 Putting It Together: Which Procedure Do I Use?
    • 9.4 Estimating with Bootstrapping
    • Chapter 9 Review
    • Chapter 9 Practice Test
    • Chapter 9 Projects

    10: Hypothesis Tests Regarding a Parameter

    • Preparing for Section 10.1: Estimating a Population Mean
    • 10.1 The Language of Hypothesis Testing
    • Preparing for Section 10.2 Hypothesis Tests for a Population Proportion
    • 10.2 Hypothesis Tests for a Population Proportion
    • Preparing for Section 10.3 Hypothesis Tests for a Population Mean
    • 10.3 Hypothesis Tests for a Population Mean
    • Preparing for Section 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap
    • 10.3A Hypothesis Tests on a Population Mean Using Simulation and the Bootstrap
    • Chapter 10 Review
    • Chapter 10 Practice Test
    • Chapter 10 Projects

    11: Inference on Two Samples

    • Preparing for Section 11.1: Inference about Two Population Proportions
    • 11.1 Inference about Two Population Proportions: Independent Samples
    • 11.1A Using Randomization Techniques to Compare Two Proportions
    • Preparing for Section 11.2: Inference about Two Population Means: Dependent Samples
    • 11.2 Inference about Two Population Means: Dependent Samples
    • Preparing for Section 11.2A: Using Bootstrapping to Conduct Inference on Two Dependent Means
    • 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means
    • Preparing for Section 11.3: Inference about Two Population Means: Independent Samples
    • 11.3 Inference about Two Population Means: Independent Samples
    • 11.3A Using Randomization Techniques to Compare Two Independent Means
    • 11.4 Putting It Together: Which Procedure Do I Use?
    • Chapter 11 Review
    • Chapter 11 Practice Test
    • Chapter 11 Projects

    12: Inference on Categorical Data

    • Preparing for Section 12.1: Goodness-of-Fit Test
    • 12.1 Goodness-of-Fit Test
    • Preparing for Section 12.2: Tests for Independence and the Homogeneity of Proportions
    • 12.2 Tests for Independence and the Homogeneity of Proportions
    • Preparing for Section 12.3: Inference about Two Population Proportions: Dependent Samples
    • 12.3 Inference about Two Population Proportions: Dependent Samples
    • Chapter 12 Review
    • Chapter 12 Practice Test
    • Chapter 12 Projects

    13: Comparing Three or More Means

    • Preparing for Section 13.1: Comparing Three or More Means: One-Way Analysis of Variance
    • 13.1 Comparing Three or More Means: One-Way Analysis of Variance
    • Preparing for Section 13.2: Post Hoc Tests on One-Way Analysis of Variance
    • 13.2 Post Hoc Tests on One-Way Analysis of Variance
    • Chapter 13 Review
    • Chapter 13 Practice Test
    • Chapter 13 Projects

    14: Inference on the Least-Squares Regression Model and Multiple Regression

    • Preparing for Section 14.1: Testing the Significance of the Least-Squares Regression Model
    • 14.1 Testing the Significance of the Least-Squares Regression Model
    • 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line
    • Preparing for Section 14.2: Confidence and Prediction Intervals
    • 14.2 Confidence and Prediction Intervals
    • Preparing for Section 14.3: Introduction to Multiple Regression
    • Chapter 14 Review
    • Chapter 14 Practice Test
    • Chapter 14 Projects
    Appendix
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