Reviews
Reviewers Involved with the 5th Edition of "Statistics for Engineering and the Sciences: " Dharam Chopra (Wichita University) Edward Danial (Morgan State University) Frank Guess (University of Tennessee) Carol O'Connor Holloman (University of Louisville) Nancy Matthews (University of Oklahoma) Alan Rabideau (University of Bufffalo) Charles Reilly (University of Central Florida) Larry Ringer (Texas A&M University) Arnold Sweet (Purdue University) Paul Switzer (Stanford University) Reviewers of Previous Editions Carl Bodenschatz (United States Air Force Academy) George C. Derringer (Battelle Columbus, Ohio, Division) Danny Dyer (University of Texas-Arlington) Herberg Eisenberg (West Virginia College of Graduate Studies) Christopher Ennis (Normandale Community College) Nasrollah Etemadi (University of Illinois-Chicago) Linda Gans (California State Polytechnic University) Carol Gattis (University of Arkansas) K.G. Janardan (Eastern Michigan University) H. Lennon (Coventry Polytechnic, Coventry, England) Jeffery Maxey (University of Central Florida) Curtis McKnight (University of Oklahoma) Chand Midha (University of Akron) Balgobin Nandram (Worcester Polytechnic Institute) Paul Nelson (Kansas State University) Norbert Oppenheim (City College of New York) Giovanni Parmigiani (Duke University) David Powers (Clarkson University) David Robinson (St. Cloud State University) Shiva Saksena (University of North Carolina-Wilmington) Dennis Wackerly (University of Florida) Donald Woods (Texas A&M University), "A salient feature of this book is the clarity with which many statistical concepts have been presented. A very nice blend of theory and applications. It contains a wealth of illustrative examples and problem sets. All the important concepts havae been highlighted; real-life data has been extensively used throughout the book. Students will find it very appealing and u seful on their way to learning the basic statistical concepts and tools." - Dharam V. Chopra, Wichita State University "I like the problems in M& S-4 because they are all based on engineering applications of probability and statistics. I especially like the problems at the end of chapter because students have to think more to solve them. I favor problems that require calculations because engineers are problem solvers." - Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets. The authors successfully included small and large real data sets from various real world problems in engineering, mathematical sciences, and natural sciences." - Dr. Edward J. Danial, Morgan State University Reviewers Involved with the 5th Edition of "Statistics for Engineering and the Sciences: " Dharam Chopra (Wichita University) Edward Danial (Morgan State University) Frank Guess (University of Tennessee)Carol O' Connor Holloman (University of Louisville) Nancy Matthews (University of Oklahoma) Alan Rabideau (University of Bufffalo) Charles Reilly (University of Central Florida) Larry Ringer (Texas A& M University) Arnold Sweet (Purdue University) Paul Switzer (Stanford University) Reviewers of Previous Editions Carl Bodenschatz (United States Air Force Academy) George C. Derringer (Battelle Columbus, Ohio, Division) Danny Dyer (University of Texas-Arlington) Herberg Eisenberg (West Virginia College of Graduate Studies) Christopher Ennis (Normandale Community College) Nasrollah Etemadi (University of Illinois-Chicago)Linda Gans (California State Polytechnic University) Carol Gattis (University of Arkansas) K.G. Janardan (Eastern Michigan University) H. Lennon (Coventry Polytechnic, Coventry, England) Jeffery Maxey (University of Central Florida) Curtis McKnight (University of Oklahoma) Chand Midha (University of Akron) Balgobin Nandram (Worcester Polytechnic Institute) Paul Nelson (Kansas State University) Norbert Oppenheim (City College of New York) Giovanni Parmigiani (Duke University) David Powers (Clarkson University) David Robinson (St. Cloud State University) Shiva Saksena (University of North Carolina-Wilmington) DennisWackerly (University of Florida) Donald Woods (Texas A& M University), "A salient feature of this book is the clarity with which many statistical concepts have been presented. A very nice blend of theory and applications. It contains a wealth of illustrative examples and problem sets. All the important concepts havae been highlighted; real-life data has been extensively used throughout the book. Students will find it very appealing and u seful on their way to learning the basic statistical concepts and tools." - Dharam V. Chopra, Wichita State University "I like the problems in M&S-4 because they are all based on engineering applications of probability and statistics. I especially like the problems at the end of chapter because students have to think more to solve them. I favor problems that require calculations because engineers are problem solvers". - Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets. The authors successfully included small and large real data sets from various real world problems in engineering, mathematical sciences, and natural sciences." - Dr. Edward J. Danial, Morgan State University Reviewers Involved with the 5th Edition ofStatistics for Engineering and the Sciences: Dharam Chopra (Wichita University) Edward Danial (Morgan State University) Frank Guess (University of Tennessee) Carol O'Connor Holloman (University of Louisville) Nancy Matthews (University of Oklahoma) Alan Rabideau (University of Bufffalo) Charles Reilly (University of Central Florida) Larry Ringer (Texas A&M University) Arnold Sweet (Purdue University) Paul Switzer (Stanford University) Reviewers of Previous Editions Carl Bodenschatz (United States Air Force Academy) George C. Derringer (Battelle Columbus, Ohio, Division) Danny Dyer (University of Texas-Arlington) Herberg Eisenberg (West Virginia College of Graduate Studies) Christopher Ennis (Normandale Community College) Nasrollah Etemadi (University of Illinois-Chicago) Linda Gans (Califor, "A salient feature of this book is the clarity with which many statistical concepts have been presented. A very nice blend of theory and applications. It contains a wealth of illustrative examples and problem sets. All the important concepts havae been highlighted; real-life data has been extensively used throughout the book. Students will find it very appealing and u seful on their way to learning the basic statistical concepts and tools." - Dharam V. Chopra, Wichita State University "I like the problems in M&S-4 because they are all based on engineering applications of probability and statistics. I especially like the problems at the end of chapter because students have to think more to solve them. I favor problems that require calculations because engineers are problem solvers". - Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets. The authors successfully included small and large real data sets from various real world problems in engineering, mathematical sciences, and natural sciences." - Dr. Edward J. Danial, Morgan State University, "A salient feature of this book is the clarity with which many statistical concepts have been presented. A very nice blend of theory and applications. It contains a wealth of illustrative examples and problem sets. All the important concepts havae been highlighted; real-life data has been extensively used throughout the book. Students will find it very appealing and u seful on their way to learning the basic statistical concepts and tools." - Dharam V. Chopra, Wichita State University "I like the problems in M&S-4 because they are all based on engineering applications of probability and statistics. I especially like the problems at the end of chapter because students have to think more to solve them. I favor problems that require calculations because engineers are problem solvers". - Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets. The authors successfully included small and large real data sets from various real world problems in engineering, mathematical sciences, and natural sciences." - Dr. Edward J. Danial, Morgan State University , Reviewers Involved with the 5th Edition ofStatistics for Engineering and the Sciences: Dharam Chopra (Wichita University) Edward Danial (Morgan State University) Frank Guess (University of Tennessee) Carol O'Connor Holloman (University of Louisville) Nancy Matthews (University of Oklahoma) Alan Rabideau (University of Bufffalo) Charles Reilly (University of Central Florida) Larry Ringer (Texas A&M University) Arnold Sweet (Purdue University) Paul Switzer (Stanford University) Reviewers of Previous Editions Carl Bodenschatz (United States Air Force Academy) George C. Derringer (Battelle Columbus, Ohio, Division) Danny Dyer (University of Texas-Arlington) Herberg Eisenberg (West Virginia College of Graduate Studies) Christopher Ennis (Normandale Community College) Nasrollah Etemadi (University of Illinois-Chicago) Linda Gans (California State Polytechnic University) Carol Gattis (University of Arkansas) K.G. Janardan (Eastern Michigan University) H. Lennon (Coventry Polytechnic, Coventry, England) Jeffery Maxey (University of Central Florida) Curtis McKnight (University of Oklahoma) Chand Midha (University of Akron) Balgobin Nandram (Worcester Polytechnic Institute) Paul Nelson (Kansas State University) Norbert Oppenheim (City College of New York) Gio
