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. With this in mind, the book is organized into four parts.

Part 1 focuses on gathering, exploring and describing data and interpreting the statistics they produce. This equates to components 1, 2, and 3, when the data is analyzed descriptively (both for one variable and the association between two variables).

Part 2 covers probability, probability distributions, and sampling distributions. This equates to component 3, when the student learns the underlying probability necessary to make the step from analyzing the data descriptively to analyzing the data inferentially (for example, understanding sampling distributions to develop the concept of a margin of error and a P-value).

Part 3 covers inferential statistics. This equates to components 3 and 4 of the statistical investigative process. The students learn how to form confidence intervals and conduct significance tests and then make appropriate conclusions answering the statistical question of interest.

Part 4 introduces statistical modeling. This part cycles through all 4 components. The chapters are written in such a way that instructors can teach out of order. For example, after Chapter 1, an instructor could easily teach Chapter 4, Chapter 2, and Chapter 3. Alternatively, an instructor may teach Chapters 5, 6, and 7 after Chapters 1 and 4.