Essential Statistics, Global Edition

Description

This book is ideal for a one-semester course in statistics, offering a streamlined presentation of Introductory Statistics: Exploring the World through Data, by Gould/Ryan. Exploring the World through Data We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data critically. Authors Rob Gould, Colleen Ryan, and Rebecca Wong want students to develop a "data habit of mind" because learning statistics is an essential life skill that extends beyond the classroom. Regardless of their math backgrounds, students will learn how to think.  Read more... PrefaceIndex of Applications 1. Introduction to Data Case Study-Deadly Cell Phones?1.1 What Are Data?1.2 Classifying and Storing Data1.3 Organizing Categorical Data1.4 Collecting Data to Understand Causality Exploring Statistics-Collecting a Table of Different Kinds of Data 2. Picturing Variation with Graphs Case Study-Student-to-Teacher Ratio at Colleges2.1 Visualizing Variation in Numerical Data2.2 Summarizing Important Features of a Numerical Distribution2.3 Visualizing Variation in Categorical Variables2.4 Summarizing Categorical Distributions2.5 Interpreting Graphs Exploring Statistics-Personal Distance 3. Numerical Summaries of Center and Variation Case Study-Living in a Risky World3.1 Summaries for Symmetric Distributions3.2 What's Unusual? The Empirical Rule and z-Scores3.3 Summaries for Skewed Distributions3.4 Comparing Measures of Center3.5 Using Boxplots for Displaying Summaries Exploring Statistics-Does Reaction Distance Depend on Gender? 4. Regression Analysis: Exploring Associations between Variables Case Study-Catching Meter Thieves4.1 Visualizing Variability with a Scatterplot4.2 Measuring Strength of Association with Correlation4.3 Modeling Linear Trends4.4 Evaluating the Linear Model Exploring Statistics-Guessing the Age of Famous People 5. Modeling Variation with Probability Case Study-SIDS or Murder?5.1 What Is Randomness?5.2 Finding Theoretical Probabilities5.3 Associations in Categorical Variables5.4 Finding Empirical Probabilities Exploring Statistics-Let's Make a Deal: Stay or Switch? 6. Modeling Random Events: The Normal and Binomial Models Case Study-You Sometimes Get More Than You Pay For6.1 Probability Distributions Are Models of Random Experiments6.2 The Normal Model6.3 The Binomial Model (optional) Exploring Statistics-ESP with Coin Flipping 7. Survey Sampling and Inference Case Study-Spring Break Fever: Just What the Doctors Ordered?7.1 Learning about the World through Surveys7.2 Measuring the Quality of a Survey7.3 The Central Limit Theorem for Sample Proportions7.4 Estimating the Population Proportion with Confidence Intervals7.5 Comparing Two Population Proportions with Confidence Exploring Statistics-Simple Random Sampling Prevents Bias 8. Hypothesis Testing for Population Proportions Case Study-Dodging the Question8.1 The Essential Ingredients of Hypothesis Testing8.2 Hypothesis Testing in Four Steps8.3 Hypothesis Tests in Detail8.4 Comparing Proportions from Two Populations Exploring Statistics-Identifying Flavors of Gum through Smell 9. Inferring Population Means Case Study-Epilepsy Drugs and Children9.1 Sample Means of Random Samples9.2 The Central Limit Theorem for Sample Means9.3 Answering Questions about the Mean of a Population9.4 Hypothesis Testing for Means9.5 Comparing Two Population Means9.6 Overview of Analyzing Means Exploring Statistics-Pulse Rates 10. Analyzing Categorical Variables and Interpreting Research Case Study-Popping Better Popcorn10.1 The Basic Ingredients for Testing with Categorical Variables10.2 Chi-Square Tests for Associations between Categorical Variables10.3 Reading Research Papers Exploring Statistics-Skittles Appendix A TablesAppendix B Check Your Tech AnswersAppendix C Answers to Odd-Numbered ExercisesAppendix D CreditsIndex