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:

This hands-on introduction to statistics presents balanced coverage of both the theory and application of statistics, showing readers how to analyze data that appear in situations in the world around them. It features an abundance of examples and exercises--nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. TI-83 boxes throughout describe the keystrokes and output of TI-83 graphing calculator, where appropriate, and an Exploring Data with a Computer feature provides 5 large "real" datasets (available on disk and referenced in an Appendix) as the basis for statistical explorations using a statistical software package. Computer output from SPSS, Minitab, SAS, and ASP are integrated throughout. Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. Discrete Random Variables. Continuous Random Variables. Sampling Distributions. Inferences Based on a Single Sample: Estimation with Confidence Intervals. Inferences Based on a Single Sample: Tests of Hypotheses. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses. Analysis of Variance: Comparing More Than Two Means. Simple Linear Regression. Multiple Regression and Model Building. Categorical Data Analysis. Nonparametric Statistics. For anyone needing a contemporary, applications-oriented introduction to statistics.

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McClave, James T.; Sincich, Terry
Published by Prentice Hall (2006)
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