Metcalfe, Andrew V., et al  <br/><br/>
Statistics in engineering :  with examples in MATLAB and R / 
Andrew V. Metcalfe, David A. Green, Tony Greenfield, Mahayaudin M. Mansor, Andrew Smith and Jonathan Tuke. 
 - Second edition. 
 - xviii, 792 pages :  ill. ;  26 cm. 
 - Chapman & Hall/CRC texts in statistical science series .
<br/><br/>Includes bibliographical references (pages 783-787) and index. 
<br/><br/>Why understand statistics? -- Probability and making decisions -- Graphical displays of data and descriptive statistics -- Discrete probability distributions -- Continuous probability distributions -- Correlation and functions of random variables -- Estimation and inference -- Linear regression and linear relationships -- Multiple Regression -- Statistical quality control -- Design of experiments with regression analysis -- Design of experiments and analysis of variance -- Probability Models -- Sampling strategies -- Notation -- Glossary -- Getting started in R -- Getting started in MATLAB -- Practicals Experiments 
<br/><br/> "This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from existing books in three main aspects: it is the only introductory statistics textbook written for engineers that uses R throughout the text, there is an emphasis on statistical methods most relevant to engineers that are illustrated with practical applications, and there is an emphasis on random number generation and simulation, all very useful features in engineering"-- 
<br/><br/> College of Engineering and Computer Studies  Bachelor of Science in Civil Engineering 
<br/><br/><br/>Text in English 
<br/><br/><label>ISBN: </label>9781439895474 
<br/><br/><label>LCCN: </label>2018042675 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering--Statistical methods.<br/>Engineering mathematics.
<br/><br/><label>LC Class. No.: </label>TA340  / .M45 2019 
<br/><br/><label>Dewey Class. No.: </label>519.5 St29 2019