Gould, Robert.

Essential statistics: exploring the world through data / Robert Gould (University of California, Los Angeles), Colleen Ryan (California Lutheran University), Rebecca Wong (West Valley College). - second edition, global edition. - 582 pages : colored illustrations ; 28 cm.

Authorized adaptation from the United States edition, entitled Essential statistics, 2nd edition, ISBN 978-0-134-13440-6, by Robert Gould, Colleen Ryan, and Rebecca Wong, published by Pearson Education 2017. Includes index.

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




In English.

9781292161228 (pbk)


Mathematical statistics.
Statistics.

519.5/G73