This is the 11th edition (2011) paperback copy of Statistics for Business Students and Economics by James T. McClave (Author), P. George Benson (Author), and Terry Sincich (Author).
This introduces the world of data collection and analysis in Real-World business settings using an applied, hands-on approach that engages and stimulates students
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.
PROBABILITY AND STATISTICS FOR ENGINEERS, 5e, International Edition provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough a wide array of illuminating engineering applications and an accessible modern framework that emphasizes statistical thinking, data collection and analysis, decision-making, and process improvement skills
Designed for readers with a background in basic algebra, this best-selling introduction to statistics for business and economics emphasizes "inference"--with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good business decisions. It stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data--both by those who consume and those who produce them--and features numerous case studies, examples, and exercises--all drawing on real business situations and recent economic events. Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. 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. Introduction to Multiple Regression. Basic Methods for Quality Improvement. For anyone interested in statistics for business and economics.