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

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

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


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

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

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.

Table of Contents

  • 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

Additional information

CIN1292164778VG
9781292164779
1292164778
Statistics: The Art and Science of Learning from Data, Global Edition by Alan Agresti
Used - Very Good
Paperback
Pearson Education Limited
20170403
816
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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