About the Book
Data analysis for everyone.
With Essential Statistics you′ll learn to think critically with and about data, report your findings, and evaluate arguments. The fundamentals of exploratory data analysis and inferential statistics are covered, along with additional methods, including estimating population means and analyzing categorical variables.
For one-semester courses in introductory statistics.
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About the Author: Robert L. Gould (Ph.D., University of California, Los Angeles) is a leader in the statistics education community. He has served as chair of the American Statistical Association's (ASA) Statistics Education Section, chair of the American Mathematical Association of Two-Year Colleges/ASA Joint Committee, and has served on the National Council of Teacher of Mathematics/ASA Joint Committee. He served on a panel of co-authors for the 2005 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report and is co-author on the revision for the GAISE K-12 Report. As lead principal investigator of the NSF-funded Mobilize Project, he led the development of the first high school level data science course, which is taught in the Los Angeles Unified School District and several other districts.
Rob teaches in the Department of Statistics at UCLA, where he directs the undergraduate statistics program and is director of the UCLA Center for Teaching Statistics. In recognition for his activities in statistics education, in 2012 Rob was elected Fellow of the American Statistical Association. He is the 2019 recipient of the ASA Waller Distinguished Teaching Award and the USCOTS Lifetime Achievement Award. In his free time, Rob plays the cello and enjoys attending concerts of all types and styles.
Rebecca K. Wong has taught mathematics and statistics at West Valley College for more than twenty years. She enjoys designing activities to help students explore statistical concepts and encouraging students to apply those concepts to areas of personal interest.
Rebecca earned at 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.
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 Moorpark Community College. 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, Colleen sings, has been an avid skier, and enjoys time with her family.
