Riassunto:
<p style="margin:0px;"></p> <p style="margin:0px;">NOTE: This loose-leaf, three-hole punched version of the textbook gives you the flexibility to take only what you need to class and add your own notes – all at an affordable price. For loose-leaf editions that include MyLab™ or Mastering™, several versions may exist for each title and registrations are not transferable. You may need a Course ID, provided by your instructor, to register for and use MyLab or Mastering products.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><i>For courses in Introductory Statistics.</i></p> <p style="margin:0px;"><i>This package includes MyLab Statistics.</i></p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><b>Encourages statistical thinking using technology, innovative methods, and a sense of humor</b></p> <p style="margin:0px;">Inspired by the 2016 GAISE Report revision, <b><i>Stats: Data and Models</i>, 5th Edition</b> by De Veaux/Velleman/Bock uses innovative strategies to help students think critically about data — while maintaining the book’s core concepts, coverage, and most importantly, readability.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">By using technology and simulations to demonstrate variability at critical points throughout the course, the authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.</p> <p style="margin:0px;"> </p> <p style="margin:0px;">The <b>5th Edition’s </b>approach to teaching <b><i>Stats: Data and Models</i></b> is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><b>Reach every student by pairing this text with MyLab Statistics</b></p> <p style="margin:0px;">MyLab™ Statistics is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. </p> <p style="margin:0px;"><br></p> <p style="margin:0px;"></p> <b><p style="margin:0px;">0135307996 / 9780135307991 Stats: Data and Models, Loose-Leaf Edition Plus MyLab Statistics - Access Card Package</p><p style="margin:0px;"></p></b> <p style="margin:0px;">Package consists of:</p> <p style="margin:0px;"></p> <ul> <li>0135163838 / 9780135163832 Stats: Data and Models, Loose-Leaf Edition</li> <li>0135189691 / 9780135189696 MyLab Statistics with Pearson eText - Standalone Access Card - for Stats: Data and Models</li> </ul> <p style="margin:0px;"></p>
Informazioni sull?autore:
<p style="margin:0px;"><b>Richard D. De Veaux </b>is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering, where he won a “Lifetime Award for Dedication and Excellence in Teaching.” He is the C. Carlisle and M. Tippit Professor of Statistics at Williams College, where he has taught since 1994. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is a fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI). In 2008, he was named Statistician of the Year by the Boston Chapter of the ASA. Dick is also well known in industry, where for more than 30 years he has consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. Because he consulted with Mickey Hart on his book <i>Planet Drum</i>, he has also sometimes been called the “Official Statistician for the Grateful Dead.” His real-world experiences and anecdotes illustrate many of this book’s chapters.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">Dick holds degrees from Princeton University in Civil Engineering (B.S.E.) and Mathematics (A.B.) and from Stanford University in Dance Education (M.A.) and Statistics (Ph.D.), where he studied dance with Inga Weiss and Statistics with Persi Diaconis. His research focuses on the analysis of large data sets and data mining in science and industry.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">In his spare time, he is an avid cyclist and swimmer. He also is the founder of the “Diminished Faculty,” an a cappella Doo-Wop quartet at Williams College, and sings bass in the college concert choir and with the Choeur Vittoria of Paris. Dick is the father of four children.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><b>Paul F. Velleman</b> has an international reputation for innovative Statistics education. He is the author and designer of the multimedia Statistics program <i>ActivStats</i>, for which he was awarded the EDUCOM Medal for innovative uses of computers in teaching statistics, and the ICTCM Award for Innovation in Using Technology in College Mathematics. He also developed the award-winning statistics program <i>Data Desk</i>, and the Internet site Data and Story Library (DASL) (ASL.datadesk.com), which provides data sets for teaching Statistics. Paul’s understanding of using and teaching with technology informs much of this book’s approach.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">Paul has taught Statistics at Cornell University since 1975, where he was awarded the MacIntyre Award for Exemplary Teaching. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees in Statistics from Princeton University, where he studied with John Tukey. His research often deals with statistical graphics and data analysis methods. Paul co-authored (with David Hoaglin) <i>ABCs of Exploratory Data Analysis</i>. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Paul is the father of two boys.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><br></p> <p style="margin:0px;"><b>David E. Bock</b> taught mathematics at Ithaca High School for 35 years. He has taught Statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University. Dave has won numerous teaching awards, including the MAA’s Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University’s Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">Dave holds degrees from the University at Albany in Mathematics (B.A.) and Statistics/Education (M.S.). Dave has been a reader and table leader for the AP Statistics exam, serves as a Statistics consultant to the College Board, and leads workshops and institutes for AP Statistics teachers. He has served as K–12 Education and Outreach Coordinator and a senior lecturer for the Mathematics Department at Cornell University. His understanding of how students learn informs much of this book’s approach.</p> <p style="margin:0px;"><br></p> <p style="margin:0px;">Dave and his wife relax by biking or hiking, spending much of their free time in Canada, the Rockies, or the Blue Ridge Mountains. They have a son, a daughter, and four grandchildren.</p>
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