Statistics for engineering and the sciences / William Mendenhall, Terry Sincich.
Material type:
TextPublisher: Upper Saddle River, N.J. : Pearson Prentice-Hall, c2007Edition: 5th edDescription: xii, 1060 p. : ill. ; 26 cmISBN: 0131877062; 9780131877061Subject(s): Mathematical statistics | Engineering -- Statistical methodsDDC classification: 519.5 LOC classification: QA276 | .M429 2007Summary: This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Books
|
Female Library | QA276 .M429 2007 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000080770 | |
|
Books
|
Main Library | QA276 .M429 2007 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000059301 |
Browsing Main Library shelves Close shelf browser
|
|
|
|
|
|
|
||
| QA276 .B84 2007 أساسيات نظرية المباريات / | QA276 .I58 2015 An introduction to statistical learning : with applications in R / | QA276 .M425 2020 Introduction to probability and statistics. | QA276 .M429 2007 Statistics for engineering and the sciences / | QA276 .S54 2007 أسس نظرية التقدير / | QA276.A2 .P43 2016 Causal inference in statistics : a primer / | QA276 A2 F4 2000 مدخل إلى نظرية الاحتمال وتطبيقاتها / |
Includes bibliographical references (p. 1028-1035) and index.
This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
1 2
There are no comments on this title.