Bookbot

Statistics

The Art and Science of Learning from Data

Hodnotenie knihy

Viac o knihe

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.

Vydanie

Nákup knihy

Statistics, Alan Agresti, Christine A. Franklin

Jazyk
Rok vydania
2013
product-detail.submit-box.info.binding
(pevná)
Akonáhle sa objaví, pošleme e-mail.

Platobné metódy

3,6
Veľmi dobrá
18 Hodnotenie

Tu nám chýba tvoja recenzia

Titul
Statistics
Podtitul
The Art and Science of Learning from Data
Jazyk
anglicky
Vydavateľ
Pearson
Rok vydania
2013
Väzba
pevná
ISBN10
0321755944
ISBN13
9780321755940
Série
Hodnotenie
3,55 z 5
Anotácia
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.