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Statistics: The Art and Science of Learning from Data, Global Edition - Alan Agresti, Christine Franklin, Bernhard Klingenberg

Statistics: The Art and Science of Learning from Data, Global Edition

Buch | Softcover
816 Seiten
2017 | 4th edition
Pearson Education Limited (Verlag)
978-1-292-16477-9 (ISBN)
CHF 127,20 inkl. MwSt
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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.

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

Erscheinungsdatum
Verlagsort Harlow
Sprache englisch
Maße 213 x 274 mm
Gewicht 1589 g
Themenwelt Mathematik / Informatik Mathematik
ISBN-10 1-292-16477-8 / 1292164778
ISBN-13 978-1-292-16477-9 / 9781292164779
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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