A defining text in statistics education, The Basic Practice of Statistics puts data analysis at the forefront and begins to develop students' reasoning and judgment about statistical studies.
A defining text in statistics education, The Basic Practice of Statistics puts data analysis at the forefront and begins to develop students' reasoning and judgment about statistical studies. Written by an author team of accomplished leaders in statistics education, it reflects the actual practice of statistics, where data analysis and design of data production join with probability-based inference to form a coherent science of data. The authors' ultimate goal is to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.
Part of the best-selling Moore family of statistics books, Basic Introduction to the Practice of Statistics is designed for a one-semester `introduction to statistics' course and offers a concise, accessible introduction to the subject. This eighth edition will be available on SaplingPlus in Autumn 2018.
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He is the author of influential articles on statistics education and of several leading texts. William I. Notz is Professor of Statistics at the Ohio State University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Michael A. Fligner is an Adjunct Professor at the University of California at Santa Cruz and a non-resident Professor Emeritus with the Ohio State University. Professor Fligner is currently associated with the Center for Statistical Analysis in the Social Sciences at the University of California at Santa Cruz.
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