About the Book
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(TM) or Mastering(TM), 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.
For courses in Introductory Statistics. This package includes MyLab Statistics. Data analysis for everyone Data in the real world are dynamic and sometimes messy. This complexity can intimidate students who are new to math and statistics -- but it's also what makes statistics so interesting!
Embracing these characteristics,
Introductory Statistics teaches students how to
explore and analyze real data to answer real-world problems. Crafted by authors who are active in the classroom and in the statistics education community, the
3rd Edition pairs a clear, conversational writing style with new and frequent opportunities to apply statistical thinking. Its tone and learning aids are designed to equip
any student to analyze, interpret, and tell a story about modern data, regardless of the student's mathematical proficiency.
Personalize learning with MyLab Statistics 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
(R), an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world.
0135268672 / 9780135268674 Introductory Statistics, Loose-Leaf Edition Plus MyLab Statistics - Access Card Package Package consists of:
- 0135163145 / 9780135163146 Introductory Statistics: Exploring the World Through Data, Books a la Carte Edition
- 0135190231 / 9780135190234 MyLab Statistics with Pearson eText - Standalone Access Card - for Introductory Statistics: Exploring the World Through Data
About the Author:
Robert L. Gould (Ph.D., University of California-San Diego) is a leader in the statistics education community. He has served as chair of the AMATYC/ASA joint committee, was co-leader of the Two-Year College Data Science Summit hosted by the American Statistical Association, served as chair of the ASA's Statistics Education Section, and was a co-author of the 2005
Guidelines for Assessment in Instruction on Statistics Education (GAISE) College Report. While serving as the Associate Director of Professional Development for CAUSE (Consortium for the Advancement of Undergraduate Statistics Education), he worked closely with the American Mathematical Association of Two-Year Colleges (AMATYC) to provide traveling workshops and summer institutes in statistics. He was the lead principal investigator of the NSF-funded Mobilize Project, which developed and implemented the first high-school level data science course. For over twenty years, he has served as Vice-Chair of Undergraduate Studies at the UCLA Department of Statistics, and is Director of the UCLA Center for the Teaching of Statistics. In 2012, Rob was elected Fellow of the American Statistical Association.
Colleen N. Ryan has taught statistics, chemistry, and physics to diverse community college students for decades. She taught at Oxnard College from 1975 to 2006, where she earned the Teacher of the Year Award. Colleen currently teaches statistics part-time at California Lutheran University. She often designs her own lab activities. Her passion is to discover new ways to make statistical theory practical, easy to understand, and sometimes even fun. Colleen earned a B.A. in physics from Wellesley College, an M.A.T. in physics from Harvard University, and an M.A. in chemistry from Wellesley College. Her first exposure to statistics was with Frederick Mosteller at Harvard. In her spare time, she sings with the Oaks Chamber Singers and enjoys time with her family.
Rebecca K. Wong has taught mathematics and statistics at West Valley College for more than twenty years. She enjoys designing activities to help students actively explore statistical concepts and encouraging students to apply those concepts to areas of personal interest. Rebecca earned a B.A. in mathematics and psychology from the University of California-Santa Barbara, an M.S.T. in mathematics from Santa Clara University, and an Ed.D. in Educational Leadership from San Francisco State University. She has been recognized for outstanding teaching by the National Institute of Staff and Organizational Development and the California Mathematics Council of Community Colleges. When not teaching, Rebecca is an avid reader and enjoys hiking trails with friends.
