Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets, to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition. McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.
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 ...
Nicholas P. Cheremisinoff, Louise Ferrante. of the estimate . For example , if e , = 0.15 , the scatter ing about the average estimate would have a standard deviation of 10 % of the value . Also , for es = 0.15 , the estimate is ...
Statistics for Engineers and Scientists
This book provides direction in constructing regression routines that can be used with worksheet software on personal computers.
This classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications.
The book also features: Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and ...
Hayter supports the concepts presented with a wealth of carefully developed examples. Numerous end-of-section exercises provide immediate opportunities for students to work with the concepts in the book.
Students using this text should have the equivalent of the completion of one semester of differential and integral calculus.
Probability and Statistics for Engineers and Scientists
Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.