For algebra-based Introductory Statistics Courses. The overarching goal of this text is to empower students to be statistical thinkers Alan Agresti and Chris Franklin have merged their research expertise, as well as their extensive real-world and teaching experience, to develop a new introductory statistics text that makes students statistically literate, while encouraging them to ask and answer interesting statistical questions. The authors have successfully crafted a text that 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 varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current and successfully illustrate the relevance of statistics. The authors understand that most of the real-world data that students encounter outside the class room are categorical data. Unlike many texts at this level, Agresti/Franklin incorporates categorical data where appropriate and draws distinctions between theory and practical application of statistical ideas and methods. The text was written, from the ground up, to embrace and support the 6 recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report. *Emphasize statistical literacy and develop statistical thinking. *Use real data. *Stress conceptual understanding rather than mere knowledge of procedures. *Foster active learning in the classroom. *Use technology for developing concepts and analyzing data. *Use assessment to evaluate and improve student learning. Text DOES NOT include CD-Rom.

Statistics : The Art and Science of Learning From Data- Text Only

ALAN AGRESTI

Pearson\Prentice Hall

Agresti and Finley present statistical methods in a style that emphasizes their concepts and their application to the social sciences rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

Statistical Methods for the Social Sciences

Science & Math

Mathematics

Macmillan Coll Div

The examples in this book will assist the instructor to help students believe statistics can and will be useful. Also, it enables the instructor to get through to students when to use and not to use statistics.

Statistics: The Art and Science of Learning from Data. INSTRUCTOR'S EDITION

PRENTICE/HALL

Pearson Education US

Statistics: The Art and Science of Learning from Data [RENTAL EDITION]

Statistics: The Art and Science of Learning from Data [RENTAL EDITION]

Pearson

Statistics: The Art and Science of Learning from Data

Christine A. Franklin

Bernhard Klingenberg

Statistical methods for the social sciences

Barbara Finlay

Upper Saddle River, N.J. : Pearson Prentice Hall, c2009

KEY MESSAGE: 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, Second Edition helps readers 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 readers without compromising necessary rigor.      KEY TOPICS: GATHERING and EXPLORING DATA; Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability in our Daily Lives; Probability Distributions; Sampling Distributions; INFERENCE STATISTICS; Statistical Inference: Confidence Intervals; Statistical Inference: Significance Tests about Hypotheses; Comparing Two Groups; ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS; Analyzing the Association Between Categorical Variables; Analyzing the Association Between Quantitative Variables: Regression Analysis; Multiple Regression; Comparing Groups: Analysis of Variance Methods; Nonparametric Statistics      MARKET: for all readers interested in statistics.

Statistics: The Art and Science of Learning From Data, 2nd Edition

Statistics : The Art and Science of Learning from Data Pie No Us Sale

Pearson Educacion

Statistics

Pearson Higher Ed.

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