UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help students overcome their apprehensions about statistics. The authors provide clear guidance and informal advice while showing students the links between statistics and the world. To reinforce this approach, the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. The twelfth edition continues to address the importance of developing students' critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, MINITAB, and SPSS is covered although not required. Extensive technology resources include MindTap, an online personalized learning environment that combines student learning tools like readings, multimedia, activities, and assessments into a single Learning Path.
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About the Author
Charles Brase has more than 30 years of full-time teaching experience in mathematics and statistics. He taught at the University of Hawaii, Manoa Campus, for several years and at Regis University in Denver, Colorado, for more than 28 years. Charles received the Excellence in Teaching award from the University of Hawaii and the Faculty Member of the Year award from Regis University on two occasions. He earned degrees from the University of Colorado, Boulder, and has a Ph.D. in Mathematics, an M.A. in Mathematics, and a B.A. in Physics.
Corrinne Pellillo Brase has taught at Hawaii Pacific College, Honolulu Community College, and Arapahoe Community College in Littleton, Colorado. She was also involved in the mathematics component of an equal opportunity program at the University of Colorado. Corrinne received the Faculty of the Year award from Arapahoe Community College. She earned degrees from the University of Colorado, Boulder, and has an M.A. and B.A. in Mathematics.
Table of Contents
1. Getting Started 2. Organizing Data 3. Averages and Variation 4. Elementary Probability Theory 5. The Binomial Probability Distribution and Related Topics 6. Normal Curves and Sampling Distributions 7. Estimation 8. Hypothesis Testing 9. Correlation and Regression 10. Chi-Square and F Distributions 11. Nonparametric Statistics