A First Course in Statistics (10th Edition)

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9780136152590: A First Course in Statistics (10th Edition)
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KEY MESSAGE: The Tenth Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches readers to properly assess the credibility of inferences-from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.

 

KEY TOPICS: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability (from McClave 11e-Chap 3); Random Variables and Probability Distributions; Inferences Based on a Single Sample: Estimation with Confidence Intervals; Inferences Based on a Single Sample: Tests of Hypothesis; Comparing Population Means; Comparing Population Proportions; Simple Linear Regression

 

MARKET: For all readers interested in statistics.

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From the Publisher:

This book presents balanced coverage of the theory and application of statistics while enhancing student's 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. The text shows students that knowledge of statistics is important to their own lives.

From the Back Cover:

This practical introduction to statistics combines fundamental theory with present day applications and includes numerous examples from journals, magazines, news articles, and commerce to help readers learn how to analyze data that appear in situations in the world around them. Stresses the importance of data collection, observations, experiments, and surveys in drawing meaningful inferences from data. Discusses methods for describing data sets (detecting outliers and graphing relationships between variables); probability; random variables and probability distributions (assessing normality that covers normal probability plots); inferences based on a single sample: tests of hypothesis; comparing population proportions; simple linear regression, and much more. Features over 800 applied exercises with real data, plus a pertinent “Statistics in Action” case in each chapter (i.e., IQ, Economic Mobility, and the Bell Curve, March Madness—Handicapping the NCAA Basketball Tourney). Wherever appropriate, a box describing the keystrokes and output of TI-8 graphing calculator are inserted into sections. For business, engineering, and science professionals.

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James T. McClave; Terry Sincich
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