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Statistics: Concepts and Controversies (10th Edition)

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WH Freeman

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Paperback - 9781319324834

25 October 2019

NZ$149.95

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Ebook - 9781319324841

15 December 2019

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Instant Digital Access Code - 9781319325947

15 December 2019

NZ$108.95

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Book + Access Card - 9781319341428

25 October 2019

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This practical textbook by David Moore and William Notz introduces a conceptual approach to statistics and shows students how use these ideas to think about the statistical claims they see every day from polls, campaigns,...

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This practical textbook by David Moore and William Notz introduces a conceptual approach to statistics and shows students how use these ideas to think about the statistical claims they see every day from polls, campaigns, advertising, public policy, and many different fields of study.

The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand impact of statistics on all aspects of their lives.

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Statistics Concepts and Controversies Video Series
The most approachable conceptual book in the Liberal Stats market, a project that lives the GAISE guidelines, and has a core focus on statistical ideas and statistical reasoning through many features:  chapter goals, illustrative examples, "what's the verdict" applications, engaging opening case studies, and many more.



New to this Edition:
      Sapling Plus - Coming to market with a dynamic full-course solution for the first time.  
      Statistical Concepts and Controversies Video Series.  
      Examples and exercises. Over one-third of the examples and exercises are revised to reflect current data and a variety of topics. 
       New and updated Design.
       Updated Case studies.
      What's the Verdict?  This new feature offers a series of questions that challenge students to start applying what they have just learned to evaluate some real issue. 

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

Newpractice and assignment problems to every chapter covering all major concepts and skills in SaplingPlus.

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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...

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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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