Mind on Statistics 6th edition

Access is contingent on use of this textbook in the instructor's classroom.

• Chapter 1: Statistics Success Stories and Cautionary Tales
  • 1: Concept Explorations
  • 1.1: What Is Statistics?
  • 1.2: Eight Statistical Stories with Morals
  • 1.3: The Common Elements in the Eight Stories
  • 1: Chapter Exercises
  • 1: Test Bank
  
  
• Chapter 2: Turning Data into Information
  • 2: Concept Explorations
  • 2.1: Raw Data
  • 2.2: Types of Variables
  • 2.3: Summarizing One or Two Categorical Variables
  • 2.4: Exploring Features of Quantitative Data with Pictures
  • 2.5: Numerical Summaries of Quantitative Variables
  • 2.6: How to Handle Outliers
  • 2.7: Bell-Shaped Distributions and Standard Deviations
  • 2: Chapter Exercises
  • 2: Labs
  • 2: Test Bank
  
  
• Chapter 3: Relationships Between Quantitative Variables
  • 3: Concept Explorations
  • 3.1: Looking for Patterns with Scatterplots
  • 3.2: Describing Linear Patterns with a Regression Line
  • 3.3: Measuring Strength and Direction with Correlation
  • 3.4: Regression and Correlation Difficulties and Disasters
  • 3.5: Correlation Does Not Prove Causation
  • 3: Chapter Exercises
  • 3: Labs
  • 3: Test Bank
  
  
• Chapter 4: Relationships Between Categorical Variables
  • 4: Concept Explorations
  • 4.1: Displaying Relationships Between Categorical Variables
  • 4.2: Risk, Relative Risk, and Misleading Statistics about Risk
  • 4.3: The Effect of a Third Variable and Simpson's Paradox
  • 4.4: Assessing the Relationship in a 2 × 2 Table: Hypothesis Testing
  • 4.5: Randomization Test for a 2 × 2 Table
  • 4: Chapter Exercises
  • 4: Labs
  • 4: Test Bank
  
  
• Chapter 5: Sampling: Surveys and How to Ask Questions
  • 5: Concept Explorations
  • 5.1: Collecting and Using Sample Data Wisely
  • 5.2: Margin of Error, Confidence Intervals, and Sample Size
  • 5.3: Choosing a Simple Random Sample
  • 5.4: Additional Probability Sampling Methods
  • 5.5: Difficulties and Disasters in Sampling
  • 5.6: Pitfalls in Asking Survey Questions
  • 5: Chapter Exercises
  • 5: Labs
  • 5: Test Bank
  
  
• Chapter 6: Gathering Useful Data for Examining Relationships
  • 6: Concept Explorations
  • 6.1: Speaking the Language of Research Studies
  • 6.2: Designing a Good Experiment
  • 6.3: Designing a Good Observational Study
  • 6.4: Difficulties and Disasters in Experiments and Observational Studies
  • 6: Chapter Exercises
  • 6: Test Bank
  
  
• Chapter 7: Probability
  • 7: Concept Explorations
  • 7.1: Random Circumstances
  • 7.2: Interpretations of Probability
  • 7.3: Probability Definitions and Relationships
  • 7.4: Basic Rules for Finding Probabilities
  • 7.5: Conditional Probabilities and Bayes' Rule
  • 7.6: Using Simulation to Estimate Probabilities
  • 7.7: Flawed Intuitive Judgments about Probability
  • 7: Chapter Exercises
  • 7: Labs
  • 7: Test Bank
  
  
• Chapter 8: Random Variables
  • 8: Concept Explorations
  • 8.1: What Is a Random Variable?
  • 8.2: Discrete Random Variables
  • 8.3: Expectations for Random Variables
  • 8.4: Binomial Random Variables
  • 8.5: Continuous Random Variables
  • 8.6: Normal Random Variables
  • 8.7: Approximating Binomial Distribution Probabilities
  • 8.8: Linear Combinations and Linear Transformations of Random Variables
  • 8: Chapter Exercises
  • 8: Labs
  • 8: Test Bank
  
  
• Chapter 9: Understanding Sampling Distributions: Statistics as Random Variables
  • 9: Concept Explorations
  • 9.1: Parameters, Statistics, and Statistical Inference
  • 9.2: From Curiosity to Questions About Parameters
  • 9.3: SD Module 0: An Overview of Sampling Distributions
  • 9.4: SD Module 1: Sampling Distribution for One Sample Proportion
  • 9.5: SD Module 2: Sampling Distribution for the Difference in Two Sample Proportions
  • 9.6: SD Module 3: Sampling Distribution for One Sample Mean
  • 9.7: SD Module 4: Sampling Distribution for the Sample Mean of Paired Differences
  • 9.8: SD Module 5: Sampling Distribution for the Difference in Two Sample Means
  • 9.9: Preparing for Statistical Inference: Standardized Statistics
  • 9.10: Generalizations beyond the Big Five
  • 9: Chapter Exercises
  • 9: Labs
  • 9: Test Bank
  
  
• Chapter 10: Estimating Proportions with Confidence
  • 10: Concept Explorations
  • 10.1: CI Module 0: An Overview of Confidence Intervals
  • 10.2: CI Module 1: Confidence Intervals for Population Proportions
  • 10.3: CI Module 2: Confidence Intervals for the Difference in Two Population Proportions
  • 10.4: Using Simulation to Calculate Confidence Intervals: Bootstrapping
  • 10.5: Using Confidence Intervals to Guide Decisions
  • 10: Chapter Exercises
  • 10: Labs
  • 10: Test Bank
  
  
• Chapter 11: Estimating Means with Confidence
  • 11: Concept Explorations
  • 11.1: Introduction to Confidence Intervals for Means
  • 11.2: CI Module 3: Confidence Intervals for One Population Mean
  • 11.3: CI Module 4: Confidence Intervals for the Population Mean of Paired Differences
  • 11.4: CI Module 5: Confidence Intervals for the Difference in Two Population Means (Independent Samples)
  • 11.5: Using Simulation to Calculate Confidence Intervals: Bootstrapping for Means and Other Parameters
  • 11.6: Understanding Any Confidence Interval
  • 11: Chapter Exercises
  • 11: Labs
  • 11: Test Bank
  
  
• Chapter 12: Testing Hypotheses about Proportions
  • 12: Concept Explorations
  • 12.1: HT Module 0: An Overview of Hypothesis Testing
  • 12.2: HT Module 1: Testing Hypotheses about a Population Proportion
  • 12.3: HT Module 2: Testing Hypotheses about the Difference in Two Population Proportions
  • 12.4: Using Resampling to Estimate the p-Value for Testing Hypotheses About Two Proportions
  • 12.5: Sample Size, p-Values, and Power
  • 12.6: Understanding and Addressing Criticisms of Significance Testing
  • 12: Chapter Exercises
  • 12: Labs
  • 12: Test Bank
  
  
• Chapter 13: Testing Hypotheses about Means
  • 13: Concept Explorations
  • 13.1: Introduction to Hypothesis Tests for Means
  • 13.2: HT Module 3: Testing Hypotheses about One Population Mean
  • 13.3: HT Module 4: Testing Hypotheses about the Population Mean of Paired Differences
  • 13.4: HT Module 5: Testing Hypotheses about the Difference in Two Population Means (Independent Samples)
  • 13.5: The Relationship Between Significance Tests and Confidence Intervals
  • 13.6: Choosing an Appropriate Inference Procedure
  • 13.7: Effect Size
  • 13.8: Evaluating Significance in Research Reports
  • 13: Chapter Exercises
  • 13: Labs
  • 13: Test Bank
  
  
• Chapter 14: Inference about Simple Regression
  • 14: Concept Explorations
  • 14.1: Sample and Population Regression Models
  • 14.2: Estimating the Standard Deviation for Regression
  • 14.3: Inference about the Slope of a Linear Regression
  • 14.4: Predicting y and Estimating Mean y at a Specific x
  • 14.5: Checking Conditions for Using Regression Models for Inference
  • 14: Chapter Exercises
  • 14: Labs
  • 14: Test Bank
  
  
• Chapter 15: More about Inference for Categorical Variables
  • 15: Concept Explorations
  • 15.1: The Chi-Square Test for Two-Way Tables
  • 15.2: Methods for Analyzing 2 × 2 Tables
  • 15.3: Testing Hypotheses about One Categorical Variable: Goodness-of-Fit
  • 15: Chapter Exercises
  • 15: Labs
  • 15: Test Bank
  
  
• Chapter 16: Analysis of Variance
  • 16: Concept Explorations
  • 16.1: Comparing Means with an ANOVA F-Test
  • 16.2: Details of One-Way Analysis of Variance
  • 16.3: Other Methods for Comparing Populations
  • 16.4: Two-Way Analysis of Variance
  • 16: Chapter Exercises
  • 16: Labs
  • 16: Test Bank
  
  
• Chapter 17: Turning Information into Wisdom
  • 17: Concept Explorations
  • 17.1: Beyond the Data
  • 17.2: Transforming Uncertainty Into Wisdom
  • 17.3: Making Personal Decisions
  • 17.4: Controlling Societal Risks
  • 17.5: Understanding Our World
  • 17.6: Getting to Know You
  • 17.7: Words to the Wise
  • 17: Chapter Exercises
  • 17: Test Bank
  
  
• Chapter S1: Additional Discrete Random Variables
  • S1.1: Hypergeometric Distribution
  • S1.2: Poisson Distribution
  • S1.3: Multinomial Distribution
  • S1.4: Negative Binomial and Geometric Distributions
  
  
• Chapter S2: Nonparametric Tests of Hypotheses
  • S2: Concept Explorations
  • S2.1: The Sign Test
  • S2.2: The Two-Sample Rank-Sum Test
  • S2.3: The Wilcoxon Signed-Rank Test
  • S2.4: The Kruskal-Wallis Test
  
  
• Chapter S3: Multiple Regression
  • S3: Concept Explorations
  • S3.1: The Multiple Linear Regression Model
  • S3.2: Inference About Multiple Regression Models
  • S3.3: Checking Conditions for Multiple Linear Regression
  • S3: Chapter Exercises
  
  
• Chapter S4: Two-Way Analysis of Variance
  • S4.1: Assumptions and Models for Two-Way ANOVA
  • S4.2: Testing for Main Effects and Interactions
  • S4: Chapter Exercises
  
  
• Chapter S5: Ethics
  • S5.1: Ethical Treatment of Human and Animal Participants
  • S5.2: Assurance of Data Quality
  • S5.3: Appropriate Statistical Analyses
  • S5.4: Fair Reporting of Results
  • S5: Chapter Exercises
  
  
• Chapter PJT: Project
  • PJT.1: Project