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Klappentext For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it's important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Zusammenfassung For courses in introductory statistics. Statistics: The Art and Science of Learning from Data takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analysing data, rather than just memorising procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyse both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. Inhaltsverzeichnis PART ONE: GATHERING AND EXPLORING DATA 1. Statistics: The Art and Science of Learning from Data 2. Exploring Data with Graphs and Numerical Summaries 3. Association: Contingency, Correlation, and Regression 4. Gathering Data PART TWO: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS 5. Probability in Our Daily Lives 6. Probability Distributions 7. Sampling Distributions PART THREE: INFERENTIAL STATISTICS 8. Statistical Inference: Confidence Intervals 9. Statistical Inference: Significance Tests About Hypotheses 10. Comparing Two Groups PART FOUR: ANALYZING ASSOCIATION AND EXTENDED STATISTICAL METHODS 11. Analyzing the Association Between Categorical Variables 12. Analyzing the Association Between Quantitative Variables: Regression Analysis 13. Multiple Regression 14. Comparing Groups: Analysis of Variance Methods 15. Nonparametric Statistics Tables Answers Index Index of Applications Photo Credits ...
