## Description

Mind on Statistics 5th Edition, Kindle Edition by Jessica M. Utts (Author), Robert F. Heckard (Author) EBOOK PDF Instant Download

Table of Content

Chapter 1: Statistics Success Stories and Cautionary Tales

o 1.1: What Is Statistics?

o 1.2: Eight Statistical Stories with Morals

o 1.3: The Common Elements in the Eight Stories

o 1: Chapter Exercises (10)

o 1: Extra Problems (1)

o 1: Active Examples

• Chapter 2: Turning Data into Information

o 2.1: Raw Data (4)

o 2.2: Types of Variables (4)

o 2.3: Summarizing One or Two Categorical Variables (6)

o 2.4: Exploring Features of Quantitative Data with Pictures (2)

o 2.5: Numerical Summaries of Quantitative Variables (5)

o 2.6: How to Handle Outliers

o 2.7: Bell-Shaped Distributions and Standard Deviations (8)

o 2: Chapter Exercises (2)

o 2: Dataset Exercises

o 2: Extra Problems (2)

o 2: Active Examples (3)

• Chapter 3: Relationships Between Quantitative Variables

o 3.1: Looking for Patterns with Scatterplots (1)

o 3.2: Describing Linear Patterns with a Regression Line (12)

o 3.3: Measuring Strength and Direction with Correlation (6)

o 3.4: Regression and Correlation Difficulties and Disasters (2)

o 3.5: Correlation Does Not Prove Causation

o 3: Chapter Exercises (4)

o 3: Dataset Exercises

o 3: Extra Problems

o 3: Active Examples (3)

• Chapter 4: Relationships Between Categorical Variables

o 4.1: Displaying Relationships Between Categorical Variables (2)

o 4.2: Risk, Relative Risk, and Misleading Statistics about Risk (8)

o 4.3: The Effect of a Third Variable and Simpson’s Paradox (1)

o 4.4: Assessing the Statistical Significance of a 2 × 2 Table (2)

o 4: Chapter Exercises (3)

o 4: Dataset Exercises

o 4: Extra Problems

o 4: Active Examples (2)

• Chapter 5: Sampling: Surveys and How to Ask Questions

o 5.1: Collecting and Using Sample Data Wisely (3)

o 5.2: Margin of Error, Confidence Intervals, and Sample Size (13)

o 5.3: Choosing a Simple Random Sample

o 5.4: Additional Probability Sampling Methods (3)

o 5.5: Difficulties and Disasters in Sampling

o 5.6: Pitfalls in Asking Survey Questions

o 5: Chapter Exercises (4)

o 5: Extra Problems

o 5: Active Examples (7)

• Chapter 6: Gathering Useful Data for Examining Relationships

o 6.1: Speaking the Language of Research Studies (3)

o 6.2: Designing a Good Experiment (5)

o 6.3: Designing a Good Observational Study (2)

o 6.4: Difficulties and Disasters in Experiments and Observational Studies (3)

o 6: Chapter Exercises (5)

o 6: Extra Problems

o 6: Active Examples (2)

• Chapter 7: Probability

o 7.1: Random Circumstances (2)

o 7.2: Interpretations of Probability (5)

o 7.3: Probability Definitions and Relationships (2)

o 7.4: Basic Rules for Finding Probabilities (9)

o 7.5: Conditional Probabilities and Bayes’ Rule (11)

o 7.6: Using Simulation to Estimate Probabilities (2)

o 7.7: Flawed Intuitive Judgments about Probability (2)

o 7: Chapter Exercises (17)

o 7: Extra Problems (1)

o 7: Active Examples (5)

• Chapter 8: Random Variables

o 8.1: What Is a Random Variable? (3)

o 8.2: Discrete Random Variables (10)

o 8.3: Expectations for Random Variables (11)

o 8.4: Binomial Random Variables (7)

o 8.5: Continuous Random Variables (1)

o 8.6: Normal Random Variables (11)

o 8.7: Approximating Binomial Distribution Probabilities

o 8.8: Sums, Differences, and Combinations of Random Variables (8)

o 8: Chapter Exercises (9)

o 8: Extra Problems (2)

o 8: Active Examples (8)

• Chapter 9: Understanding as Sampling Distributions: Statistics as Random Variables

o 9.1: Parameters, Statistics, and Statistical Inference

o 9.2: From Curiosity to Questions About Parameters

o 9.3: SD Module 0: An Overview of Sampling Distributions

o 9.4: SD Module 1: Sampling Distribution for One Sample Proportion (7)

o 9.5: SD Module 2: Sampling Distribution for the Difference in Two Sample Proportions (2)

o 9.6: SD Module 3: Sampling Distribution for One Sample Mean (3)

o 9.7: SD Module 4: Sampling Distribution for the Sample Mean of Paired Differences

o 9.8: SD Module 5: Sampling Distribution for the Difference in Two Sample Means

o 9.9: Preparing for Statistical Inference: Standardized Statistics (3)

o 9.10: Generalizations beyond the Big Five (6)

o 9: Chapter Exercises (3)

o 9: Dataset Exercises

o 9: Extra Problems

o 9: Active Examples (4)

• Chapter 10: Estimating Proportions with Confidence

o 10.1: CI Module 0: An Overview of Confidence Intervals (2)

o 10.2: CI Module 1: Confidence Intervals for Population Proportions (8)

o 10.3: CI Module 2: Confidence Intervals for the Difference in Two Population Proportions (2)

o 10.4: Using Confidence Intervals to Guide Decisions (1)

o 10: Chapter Exercises (3)

o 10: Dataset Exercises (2)

o 10: Extra Problems (4)

o 10: Active Examples (2)

• Chapter 11: Estimating Means with Confidence

o 11.1: Introduction to Confidence Intervals for Means (5)

o 11.2: CI Module 3: Confidence Intervals for One Population Mean (7)

o 11.3: CI Module 4: Confidence Intervals for the Population Mean of Paired Differences

o 11.4: CI Module 5: Confidence Intervals for the Difference in Two Population Means (Independent Samples) (7)

o 11.5: Understanding Any Confidence Interval (2)

o 11: Chapter Exercises (10)

o 11: Dataset Exercises (5)

o 11: Extra Problems (1)

o 11: Active Examples (2)

• Chapter 12: Testing Hypotheses about Proportions

o 12.1: HT Module 0: An Overview of Hypothesis Testing (18)

o 12.2: HT Module 1: Testing Hypotheses about a Population Proportion (5)

o 12.3: HT Module 2: Testing Hypotheses about the Difference in Two Population Proportions (5)

o 12.4: Sample Size, Statistical Significance, and Practical Importance (4)

o 12: Chapter Exercises (8)

o 12: Dataset Exercises (2)

o 12: Extra Problems

o 12: Active Examples (3)

• Chapter 13: Testing Hypotheses about Means

o 13.1: Introduction to Hypothesis Tests for Means

o 13.2: HT Module 3: Testing Hypotheses about One Population Mean (5)

o 13.3: HT Module 4: Testing Hypotheses about the Population Mean of Paired Differences (3)

o 13.4: HT Module 5: Testing Hypotheses about the Difference in Two Population Means (Independent Samples) (4)

o 13.5: The Relationship Between Significance Tests and Confidence Intervals (2)

o 13.6: Choosing an Appropriate Inference Procedure

o 13.7: Effect Size (3)

o 13.8: Evaluating Significance in Research Reports

o 13: Chapter Exercises (5)

o 13: Dataset Exercises (1)

o 13: Extra Problems

o 13: Active Examples (2)

• Chapter 14: Inference about Simple Regression

o 14.1: Sample and Population Regression Models (4)

o 14.2: Estimating the Standard Deviation for Regression (4)

o 14.3: Inference about the Slope of a Linear Regression (2)

o 14.4: Predicting y and Estimating Mean y at a Specific x (1)

o 14.5: Checking Conditions for Using Regression Models for Inference (2)

o 14: Chapter Exercises (8)

o 14: Dataset Exercises

o 14: Extra Problems (1)

o 14: Active Examples (3)

• Chapter 15: More about Inference for Categorical Variables

o 15.1: The Chi-Square Test for Two-Way Tables (8)

o 15.2: Methods for Analyzing 2 × 2 Tables (5)

o 15.3: Testing Hypotheses about One Categorical Variable: Goodness-of-Fit (4)

o 15: Chapter Exercises (3)

o 15: Dataset Exercises

o 15: Extra Problems (2)

o 15: Active Examples (3)

• Chapter 16: Analysis of Variance

o 16.1: Comparing Means with an ANOVA F-Test (1)

o 16.2: Details of One-Way Analysis of Variance (7)

o 16.3: Other Methods for Comparing Populations (2)

o 16.4: Two-Way Analysis of Variance (1)

o 16: Chapter Exercises (2)

o 16: Dataset Exercises (1)

o 16: Extra Problems (1)

o 16: Active Examples (5)

• Chapter 17: Turning Information into Wisdom

o 17.1: Beyond the Data

o 17.2: Transforming Uncertainty Into Wisdom

o 17.3: Making Personal Decisions

o 17.4: Control of Societal Risks

o 17.5: Understanding Our World

o 17.6: Getting to Know You

o 17.7: Words to the Wise

o 17: Chapter Exercises (11)

o 17: Extra Problems

o 17: Active Examples (1)