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Название: Statistics: The Art and Science of Learning from Data, 5th Edition, Global Edition
Автор: Alan Agresti, Christine Franklin, Bernhard Klingenberg
Издательство: Pearson Education
Год: 2023
Страниц: 878
Язык: английский
Формат: pdf (true)
Размер: 109.2 MB
For courses in introductory statistics. The art and science of learning from data Statistics: The Art and Science of Learning from Data takes a conceptual approach,helping students understand what statistics is about and learning the rightquestions to ask when analyzing data, rather than just memorizing procedures.This book takes the ideas that have turned statistics into a central science inmodern life and makes them accessible, without compromising the necessaryrigor. Students will enjoy reading this book, and will stay engaged with itswide variety of real-world data in the examples and exercises. The statistical investigative process has the following components: (1) asking a statistical question; (2) obtaining appropriate data; (3) analyzing the data; and (4) interpreting the data and making conclusions to answer the statistical questions.
Автор: Alan Agresti, Christine Franklin, Bernhard Klingenberg
Издательство: Pearson Education
Год: 2023
Страниц: 878
Язык: английский
Формат: pdf (true)
Размер: 109.2 MB
For courses in introductory statistics. The art and science of learning from data Statistics: The Art and Science of Learning from Data takes a conceptual approach,helping students understand what statistics is about and learning the rightquestions to ask when analyzing data, rather than just memorizing procedures.This book takes the ideas that have turned statistics into a central science inmodern life and makes them accessible, without compromising the necessaryrigor. Students will enjoy reading this book, and will stay engaged with itswide variety of real-world data in the examples and exercises. The statistical investigative process has the following components: (1) asking a statistical question; (2) obtaining appropriate data; (3) analyzing the data; and (4) interpreting the data and making conclusions to answer the statistical questions.