Statistics: Principles and Methods 7th Edition
Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.
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From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry. The accompanying MyStatLab(TM) online course provides users with countless opportunities to practice, plus learning tools that enhance their experience and comprehension. Instructions and displays for StatCrunch(R), Pearson’s powerful online statistical software, are now integrated into the text as well as the MyStatLab course. Elementary Statistics is part of a series that also includes an Essentials version as well as technology-specific texts, Elementary Statistics Using the TI 83/84 Calculator and Elementary Statistics Using Excel. Data sets and other resources for this series are available at our website.
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This text covers the essential topics needed for a fundamental understanding of basic statistics and its applications in the fields of engineering and the sciences. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. The authors assume one semester of differential and integral calculus as a prerequisite.
About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.