Statistics: Informed Decisions Using Data, 6th edition

  • Michael Sullivan

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Overview

Packed with ideas and strategies for today's classroom, Statistics: Informed Decisions Using Data gives you the tools to see the bigger picture and make informed choices. Acclaimed author Mike Sullivan's practical emphasis shows that statistics is connected not only to concepts, but to the world at large. The 6th Edition ensures that all features follow the Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the introductory course. Examples and exercises have been added or updated; new Threaded Tornado problems throughout present a single, large data set measuring various variables on all tornadoes that struck the United States in 2017; and much more. This revision continues to evolve with the goal of providing clear, readable explanations, while challenging you to learn how to think conceptually about statistics.

Published by Pearson (August 25th 2020) - Copyright © 2021

ISBN-13: 9780136872740

Subject: Introductory Statistics

Category: Statistics: Informed Decisions Using Data

Overview

  • Resources for Success
  • Applications Index

I. GETTING THE INFORMATION YOU NEED

  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 Test
    • Making an Informed Decision: What College Should I Attend?
    • Case Study: Chrysalises for Cash

II. DESCRIPTIVE STATISTICS

  1. Organizing and Summarizing Data
    • 2.1 Organizing Qualitative Data
    • 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 Test
    • Making an Informed Decision: Tables or Graphs?
    • Case Study: The Day the Sky Roared
  2. Numerically Summarizing Data
    • 3.1 Measures of Central Tendency
    • 3.2 Measures of Dispersion
    • 3.3 Measures of Central Tendency and Dispersion from Grouped Data
    • 3.4 Measures of Position and Outliers
    • 3.5 The Five-Number Summary and Boxplots
    • Chapter 3 Review
    • Chapter Test
    • Making an Informed Decision: What Car Should I Buy?
    • Case Study: Who Was "A Mourner"?
  3. Describing the Relation between Two Variables
    • 4.1 Scatter Diagrams and Correlation
    • 4.2 Least-Squares Regression
    • 4.3 Diagnostics on the Least-Squares Regression Line
    • 4.4 Contingency Tables and Association
    • 4.5 Nonlinear Regression: Transformations (online)
    • Chapter 4 Review
    • Chapter Test
    • Making an Informed Decision: Relationships among Variables on a World Scale
    • Case Study: Thomas Malthus, Population, and Subsistence

III. PROBABILITY AND PROBABILITY DISTRIBUTIONS

  1. Probability
    • 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 Simulating Probability Experiments
    • 5.7 Putting It Together: Which Method Do I Use?
    • 5.8 Bayes's Rule (online)
    • Chapter 5 Review
    • Chapter Test
    • Making an Informed Decision: The Effects of Drinking and Driving
    • Case Study: The Case of the Body in the Bag
  2. Discrete Probability Distributions
    • 6.1 Discrete Random Variables
    • 6.2 The Binomial Probability Distribution
    • 6.3 The Poisson Probability Distribution
    • 6.4 The Hypergeometric Probability Distribution (online)
    • 6.5 Combining Random Variables (online)
    • Chapter 6 Review
    • Chapter Test
    • Making an Informed Decision: Should We Convict?
    • Case Study: The Voyage of the St. Andrew
  3. The Normal Probability Distribution
    • 7.1 Properties of the Normal Distribution
    • 7.2 Applications of the Normal Distribution
    • 7.3 Assessing Normality
    • 7.4 The Normal Approximation to the Binomial Probability Distribution
    • Chapter 7 Review
    • Chapter Test
    • Making an Informed Decision: Stock Picking
    • Case Study: A Tale of Blood Chemistry

IV. INFERENCE: FROM SAMPLES TO POPULATION

  1. Sampling Distributions
    • 8.1 Distribution of the Sample Mean
    • 8.2 Distribution of the Sample Proportion
    • Chapter 8 Review
    • Chapter Test
    • Making an Informed Decision: How Much Time Do You Spend in a Day . . . ?
    • Case Study: Sampling Distribution of the Median
  2. Estimating the Value of a Parameter
    • 9.1 Estimating a Population Proportion
    • 9.2 Estimating a Population Mean
    • 9.3 Estimating a Population Standard Deviation
    • 9.4 Putting It Together: Which Method Do I Use?
    • 9.5 Estimating with Bootstrapping
    • Chapter 9 Review
    • Chapter Test
    • Making an Informed Decision: How Much Should I Spend for this House?
    • Case Study: Fire-Safe Cigarettes
  3. Hypothesis Tests Regarding a Parameter
    • 10.1 The Language of Hypothesis Testing
    • 10.2 Hypothesis Tests for a Population Proportion
    • 10.3 Hypothesis Tests for a Population Mean
    • 10.4 Hypothesis Tests for a Population Standard Deviation
    • 10.5 Putting It Together: Which Method Do I Use?
    • 10.6 The Probability of a Type II Error and the Power of the Test
    • 10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)
    • 10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)
    • 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online)
    • Chapter 10 Review
    • Chapter Test
    • Making an Informed Decision: Selecting a Mutual Fund
    • Case Study: How Old Is Stonehenge?
  4. Inference on Two Population Parameters
    • 11.1 Inference about Two Population Proportions
    • 11.2 Inference about Two Means: Dependent Samples
    • 11.3 Inference about Two Means: Independent Samples
    • 11.4 Inference about Two Population Standard Deviations
    • 11.5 Putting It Together: Which Method Do I Use?
    • 11.1A Using Randomization Techniques to Compare Two Proportions (online)
    • 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online)
    • 11.3A Using Randomization Techniques to Compare Two Independent Means (online)
    • Chapter 11 Review
    • Chapter Test
    • Making an Informed Decision: Which Car Should I Buy?
    • Case Study: Control in the Design of an Experiment
  5. Inference on Categorical Data
    • 12.1 Goodness-of-Fit Test
    • 12.2 Tests for Independence and the Homogeneity of Proportions
    • 12.3 Inference about Two Population Proportions: Dependent Samples
    • Chapter 12 Review
    • Chapter Test
    • Making an Informed Decision: Benefits of College
    • Case Study: Feeling Lucky? Well, Are You?
  6. Comparing Three or More Means
    • 13.1 Comparing Three or More Means (One-Way Analysis of Variance)
    • 13.2 Post Hoc Tests on One-Way Analysis of Variance
    • 13.3 The Randomized Complete Block Design
    • 13.4 Two-Way Analysis of Variance
    • Chapter 13 Review
    • Chapter Test 687
    • Making an Informed Decision: Where Should I Invest?
    • Case Study: Hat Size and Intelligence
  7. Inference on the Least-Squares Regression Model and Multiple Regression
    • 14.1 Testing the Significance of the Least-Squares Regression Model
    • 14.2 Confidence and Prediction Intervals
    • 14.3 Introduction to Multiple Regression
    • 14.4 Interaction and Dummy Variables
    • 14.5 Polynomial Regression
    • 14.6 Building a Regression Model
    • 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online)
    • Chapter 14 Review
    • Chapter Test
    • Making an Informed Decision: Buying a Home
    • Case Study: Housing Boom
  8. Nonparametric Statistics
    • 15.1 An Overview of Nonparametric Statistics
    • 15.2 Runs Test for Randomness
    • 15.3 Inference about Measures of Central Tendency
    • 15.4 Inference about the Difference between Two Medians: Dependent Samples
    • 15.5 Inference about the Difference between Two Medians: Independent Samples
    • 15.6 Spearman's Rank-Correlation Test
    • 15.7 Kruskal - Wallis Test
    • Chapter 15 Review
    • Chapter Test
    • Making an Informed Decision: Where Should I Live?
    • Case Study: Evaluating Alabama's 1891 House Bill 504

    Photo Credits

    Appendix A: Tables

    Appendix B: Lines (online)

    Answers

    Index

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