This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics–without a high level of mathematical sophistication.
Please Note:
The CD-ROM originally included is no longer available. However, the data files can be downloaded at www.prenhall.com/sincich. And the PHStat2 content can be purchased standalone.
Disk contains: Portable MINITAB files.
"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical...
This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis.
This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational ...
More information can be found at aris.mhhe.com. This new edition includes more than 200 new exercises, a new section on point estimation on histograms, and provides discussion of Chebyshev’s inequality.
Complete solutions to all the problems in the text.
The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and ...
This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis.
“I can't do anything, can I?” said Ben. “Well, it's not as bad as all that. She wasn't really trying to kill herself, it's just a trick. A pretty severe trick though. That's the thing; how far will she go to stop you chucking her?
Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.