Statistics (10th Edition)

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9780131497559: Statistics (10th Edition)

This resource emphasizes statistical inference and sound decision-making through its extensive coverage of data collection and analysis. As in earlier editions, it helps develop statistical thinking and promotes inference assessment- from the vantage point of both the consumer and the producer.  Includes new Three-phased Examples that contain three components: "problem," "solution," and "look back."  Provides Now Work exercises that follow each example, suggesting an end-of-section exercise that is similar in style and concept to the example. Offers new Chapter Summary Notes along with end-of- chapter material. Provides new Critical Thinking Challenges. A comprehensive resource for anyone who needs to improve their understanding of statistics.

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From the Publisher:

This book presents balanced coverage of the theory and application of statistics while enhancing students' critical thinking skills. It teaches students how to analyze data that appear in situations in the world around them--almost all of the examples and exercises are based on current, real-world applications pulled from journals, magazines, news articles, and commerce. This text shows students that knowledge of statistics is important to their own lives.

From the Back Cover:

Key Benefit: This book presents balanced coverage of the theory and application of statistics while enhancing critical thinking skills. It teaches readers how to analyze data that appears in situations in the world around them—almost all of the examples and exercises are based on current, real-world applications pulled from journals, magazines, news articles, and commerce. Key Topics: Chapter 1is entirely rewritten, to emphasize statistical thinking, and acquaints the student with the importance of data collection, observations, experiments, and surveys in drawing meaningful inferences from data. Chapter 2 offers more thorough coverage of data collection and descriptive analytical tools. Chapter 7-9 more heavily stress confidence intervals and rely more heavily on computer output than on formulas. Chapter 8 now provides an equal balance between applications relying on p-values and those relying on critical values in their interpretation. The regression chapters, Chapter 11-13, give greater attention to the ideas of auto correlation and to independent and independent samples.

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James T. McClave; Terry Sincich
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