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Statistics: Concepts and Controversies

Statistics: Concepts and Controversies


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About the Book

Statistics as a Liberal Discipline
There are books on statistical theory, and there books on statistical methods. This is neither.Now available with Macmillan’s online learning platform Achieve, Statistics: Concepts and Controversies (SCC) is a book on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology. The text includes many elementary graphical and numerical techniques to give flesh to the ideas and muscle to the reasoning. Students learn to think about data by working with data. We have not, however, allowed technique to dominate concepts. The text’s intention is to teach verbally rather than algebraically, to invite discussion and even argument rather than mere computation, though some computation remains essential. The coverage is considerably broader than one might traditionally cover in a one-term course, as the table of contents reveals. In the spirit of general education, the authors have preferred breadth to detail.Achieve for Statistics: Concepts and Controversies connects the problem-solving approach and real-world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Table of Contents:
1 Where Do Data Come From?2 Samples, Good and Bad3 What Do Samples Tell Us?4 Sample Surveys in the Real World5 Experiments, Good and Bad6 Experiments in the Real World7 Data Ethics8 Measuring9 Do the Numbers Make Sense?10 Graphs, Good and Bad11 Displaying Distributions with Graphs12 Describing Distributions with Numbers13 Normal Distributions14 Describing Relationships: Scatterplots and Correlation15 Describing Relationships: Regression, Prediction, and Causation16 The Consumer Price Index and Government Statistics17 Thinking about Chance18 Probability Models19 Simulation20 The House Edge: Expected Values21 What Is a Confidence Interval?22 What Is a Test of Significance?23 Use and Abuse of Statistical Inference24 Two-Way Tables and the Chi-Square TestIndex

About the Author :
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. 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 has served as program director for statistics and probability at the National Science Foundation.  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.


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Product Details
  • ISBN-13: 9781319324841
  • Publisher: MacMillan Learning
  • Publisher Imprint: W.H.Freeman & Co Ltd
  • Language: English
  • Returnable: Y
  • Returnable: Y
  • ISBN-10: 1319324843
  • Publisher Date: 01 Nov 2019
  • Binding: Digital download and online
  • No of Pages: 672
  • Returnable: Y


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