From the Back Cover
KEY BENEFIT:Statistical Reasoning for Everyday Life, Third Edition,teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas. The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.
KEY TOPICS: Speaking of Statistics; Measurement in Statistics; Visual Displays of Data; Describing Data; A Normal World; Probability in Statistics; Correlation and Causality; From Samples to Populations; Hypothesis Testing;tTests, Two-Way Tables, and ANOVA. MARKET: For all readers interested in statistics.
About the Author
William L. Briggs has been on the mathematics faculty at the University of Colorado at Denver for 22 years. He developed the quantitative reasoning course for liberal arts students at the University of Colorado at Denver, supported by his textbook Using and Understanding Mathematics. He is a University of Colorado President's Teaching Scholar, an Outstanding Teacher awardee of the Rocky Mountain Section of the MAA, and the recipient of a Fulbright Fellowship to Ireland.
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he taught statistics for more than 30 years. Marty [change to Dr. Triola to match Dr. Bennett above?] is the author of Elementary Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83/84 Plus Calculator, Essentials of Statistics, and a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life, and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. The Text and Academic Authors Association has awarded Mario F. Triola a “Texty” for Excellence, for his work on Elementary Statistics.