Statistics: The Art and Science of Learning from Data

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9780131687134: Statistics: The Art and Science of Learning from Data
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Everything a student needs to succeed in one place. Student Study-Pack contains:O Student Solutions ManualFully worked solutions to odd-numbered exercisesO CD Lecture VideosA comprehensive set of videos, tied to the textbook, in which examples from each chapter are worked out by a statistics instructor. The videos provide excellent support for students who require additional assistance, for distance learning and self-paced programs, or for students who missed class.O Technology ManualContains detailed tutorial instructions and worked out examples & exercises for: TI-83 Calculator Excel (including PHStat, an Excel plug-in) SPSS MinitabO PearsonTutor CenterTutors provide one-on-one tutoring for any problem with an answer at the back of the book. Students access the Tutor Center via toll-free phone, fax, or e-mail.

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From the Back Cover:

STUDENT EDITION BCC:

Why buy this book?

Listen to what students who have used this text have to say!

“I really don’t want this to sound corny...but this is the first math class I’ve enjoyed and I think it’s not just because of the nature of statistics but because of the examples and scenarios [in the text].” David Mahon, University of Georgia

“...the examples are actually about real life: teen drinking, politics, internet use...other books have examples that are completely unrealistic...”Logan Troutman, ValdostaStateUniversity

“I’ve often struggled in math and need very clear explanations.  This book gave step-by-step examples that made it easy to understand.” Amanda M. Jenkins, MiddleTennesseeStateUniversity

Ask your Instructor About the Following Valuable Resources That Promote Student Success!

  Since 2001, over 1 million students have done better in math and statistics using MyMathLab and MathXL. 

 

Using MyStatLab you can:

  • Practice concepts with unlimited tutorial exercises that are very closely correlated to the exercises in the text. Immediate feedback is provided as you work the algorithmically generated exercises. 
  • Access the multi-media textbook with links to learning aids, such as lecture videos, applets and student supplements (Student Solutions Manual, PowerPoint Presentations, etc.,)

 www.mymathlab.com

 

 

The Student Study Pack provides comprehensive materials designed to enhance your study experience!  It includes: ·        Student Solutions Manual ·        CD-lecture videos (Instructor working out each text example) ·        Technology Manual (Excel, MINITAB, TI, and SPSS) ·        Access to Pearson Tutor Center.

 

About the Author:

Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 35 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed articles and five texts including "Statistical Methods for the Social Sciences" (with Barbara Finlay, Prentice Hall, 4th edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 Alan was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 30 countries worldwide. Alan has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

 

Christine Franklin is a Senior Lecturer and Honors Professor in the Department of Statistics at the University of Georgia. She has been a member of college faculty in statistics for almost 30 years. Chris has been actively involved at the national level with promoting statistical education at the K-12 level and college undergraduate level since the 1980's. She is currently the Chief Reader for AP Statistics and has developed three masters level courses at UGA in data analysis for elementary, middle school, and secondary teachers. Chris was the lead writer for the ASA endorsed Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework.

 

Chris has been honored by her selection as a Fellow of the American Statistical Association, the 2006 Mu Sigma Rho National Statistical Education Award recipient for her teaching and lifetime devotion to statistics education, and numerous teaching and advising awards at UGA. Chris has written more than 30 journal articles and resource materials for textbooks.

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