Statistics: The Art and Science of Learning from Data

Agresti, Alan

ISBN 10: 1292164778 / ISBN 13: 9781292164779

Edité par Pearson, 2018

A propos de cet article

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1650grams, ISBN:9781292164779.

N° de réf. du vendeur 9988513

Détails bibliographiques

• Titre: Statistics: The Art and Science of Learning from Data
• Éditeur: Pearson
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 1292164778
• ISBN à 13 chiffres: 9781292164779
• Reliure: Couverture souple
• Édition: 4ème Édition
• État de l'article: Good
• Poids: 1650 grammes
• Catalogues du vendeur:
  • Mathematics

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

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.

 

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