Statistics: The Art and Science of Learning from Data, Global Edition
4th Edition
Published on 3. April 2017
Book
Paperback/Softback
816 pages
978-1-292-16477-9 (ISBN)
Description
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.
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.
More details
Edition
4th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 274 mm
Width: 213 mm
Thickness: 33 mm
Weight
1589 gr
ISBN-13
978-1-292-16477-9 (9781292164779)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Alan Agresti | Christine A. Franklin | Bernhard Klingenberg
Statistics: The Art and Science of Learning from Data, Global Edition
The Art and Science of Learning from Data, Global Edition
Book
09/2022
5th Edition
Pearson Education Limited
€106.37
Shipment within 10-20 days
Previous edition
Alan Agresti | Christine Franklin
Statistics: Pearson New International Edition
The Art and Science of Learning from Data
Book
07/2013
3rd Edition
Pearson Education Limited
€99.21
Article exhausted; check for reprint
Content
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
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