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Author:   David S. Moore ,  William I. Notz
Publisher:   Macmillan Learning
Imprint:   W.H.Freeman & Co Ltd
Edition:   10th ed. 2020
ISBN:  

9781319324834

ISBN 10:   1319324835
Publication Date:   01 November 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Where Do Data Come From? 2 Samples, Good and Bad 3 What Do Samples Tell Us? 4 Sample Surveys in the Real World 5 Experiments, Good and Bad 6 Experiments in the Real World 7 Data Ethics 8 Measuring 9 Do the Numbers Make Sense? 10 Graphs, Good and Bad 11 Displaying Distributions with Graphs 12 Describing Distributions with Numbers 13 Normal Distributions 14 Describing Relationships: Scatterplots and Correlation 15 Describing Relationships: Regression, Prediction, and Causation 16 The Consumer Price Index and Government Statistics 17 Thinking about Chance 18 Probability Models 19 Simulation 20 The House Edge: Expected Values 21 What Is a Confidence Interval? 22 What Is a Test of Significance? 23 Use and Abuse of Statistical Inference 24 Two-Way Tables and the Chi-Square Test Index

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Author Information

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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