By Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Descripción: 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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Contenido: Chapter 1 Statistics: The Art and Science of Learning from Data
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Chapter 3 Association: Contingency, Correlation, and Regression
Chapter 4 Gathering Data
Chapter 5 Probability in Our Daily Lives
Chapter 6 Probability Distributions
Chapter 7 Sampling Distributions
Chapter 8 Statistical Inference: Confidence Intervals
Chapter 9 Statistical Inference: Significance Tests About Hypotheses
Chapter 10 Comparing Two Groups
Chapter 11 Analyzing the Association Between Categorical Variables
Chapter 12 Analyzing the Association Between Quantitative Variables: Regression Analysis
Chapter 13 Multiple Regression
Chapter 14 Comparing Groups: Analysis of Variance Methods
Chapter 15 Nonparametric Statistics
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