Bookbot

Statistics

The Art and Science of Learning from Data

Ocena książki

Więcej o książce

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor's Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.

Wydanie

Zakup książki

Statistics, Alan Agresti, Christine A. Franklin

Język
Rok wydania
2013
Oprawa
(twarda)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

3,6
Bardzo dobra
18 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Statistics
Podtytuł
The Art and Science of Learning from Data
Język
angielski
Wydawca
Pearson
Rok wydania
2013
Oprawa
twarda
ISBN10
0321755944
ISBN13
9780321755940
Seria
Ocena
3,55 z 5
Opis
Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor's Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.