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The Basic Practice of Statistics (8th Edition)

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WH Freeman

Pages: 654
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Flyer

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Ebook - 9781319188269

01 January 2018

€62.99

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Hardcover - 9781319187637

08 March 2018

€59.99

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Access Card - 9781319057985

15 December 2017

€54.99

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Pack - 9781949374032

10 August 2018

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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...

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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.

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COMING SOON - Available on SaplingPlus in Autumn 2018, an innovative online teaching and learning resource
4-Step Examples helps students learn how to use the four-step process for working through statistical problems: State, Plan, Solve, Conclude
Apply Your Knowledge exercise reinforce major concepts with problems that are interspersed throughout the chapter
'Statistics in Your World' highlights illustrate major concepts or present cautionary tales
Each chapter concludes with a summary of the chapter specifics, including major terms and processes, followed by a brief discussion of how the chapter links to material from both previous and upcoming chapters
Check Your Skills and Chapter Exercises test students understanding of basic concepts; a set of more in-depth exercises enable students to make judgements and draw conclusions based on real data and real scenarios

COMING SOON - This edition will be available on SaplingPlus in Autumn 2018, an innovative online teaching and learning resource
New and updated data sets, examples and exercises ensure that the content remains timely, relevant and applicable to the outside world
Adjustments to the order and content of the chapters have been implemented, after valuable feedback received from instructors
Coverage of big data has been added to the end of chapter 5 as an optional section
PART I: EXPLORING DATA
0. Getting Started
1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. The Normal Distributions
4. Scatterplots and Correlation
5. Regression
6. Two-Way Tables*
7. Exploring Data: Part I Review. PART II: PRODUCING DATA. 8. Producing Data: Sampling
9. Producing Data: Experiments
10. Data Ethics*
11. Producing Data: Part II Review. PART III: FROM DATA PRODUCTION TO INFERENCE. 12. Introducing Probability
13. General Rules of Probability*
14. Binomial Distributions*
15. Sampling Distributions
16. Confidence Intervals: The Basics
17. Tests of Significance: The Basics
18. Inference in Practice
19. From Data Production to Inference: Part III Review. PART IV: INFERENCE ABOUT VARIABLES. 20. Inference about a Population Mean
21. Comparing Two Means
22. Inference about a Population Proportion
23. Comparing Two Proportions
24. Inference about Variables: Part IV Review. PART V: INFERENCE ABOUT RELATIONSHIPS. 25. Two Categorical Variables: The Chi-Square Test
26. Inference for Regression
27. One-Way Analysis of Variance: Comparing Several Means. PART VI: OPTIONAL COMPANION CHAPTERS(available online). 28. Nonparametric Tests
29. Multiple Regression
30. More about Analysis of Variance
31. Statistical Process Control
32. Resampling: Permutation Tests and the Bootstrap.  
This textbook will be available on SaplingPlus in Autumn 2018. SaplingPlus is a state-of-the-art online learning and teaching product. Using the resource, you’ll have access to an interactive ebook (available on and offline) along with questions, quizzes and error-specific feedback to help them achieve success in your course.  Ask your lecturer to register their interest by contacting customerrelations@macmillaneducation.com. 

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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...

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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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