Jumat, 19 November 2010

[L862.Ebook] Download Ebook Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package (5th Edition) (Aut

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Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package (5th Edition) (Aut

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Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package (5th Edition) (Aut

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.

Used books, rentals, and purchases made outside of Pearson
If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.

This title is intended for courses in Automotive Principles, Service, and/or Mechanics in technical trade schools and high schools. It also serves as an additional resource to prep for ASE certification, and as a useful reference for practicing professionals.

This package includes MyAutomotiveLab�

Prepare tomorrow’s automotive professionals for success

Automotive Technology: Principles, Diagnosis, and Service, Fifth Edition covers all eight areas of automotive service, showing readers how automotive systems are connected, as well as the practical skills that students must master to be successful in the industry. Topics are divided into short chapters, which makes it easier to assign, learn, and master the content. Formatted to appeal to today's technical trade students, Halderman uses helpful tips and visuals to bring concepts to life and guide students through the procedures they'll use on the job. To keep your course current, all of the content is correlated to the latest NATEF tasks and ASE areas, and information on hot topics like electric and hybrid vehicles is included.

Personalize learning with MyAutomotiveLab

MyAutomotiveLab is an online homework, tutorial, and assessment program designed to work with Automotive Technology�to engage students and improve results. We’ve improved MyAutomotiveLab to better reflect the way instructors teach today. Now organized by ASE area, the new, easier-to-use design makes creating and personalizing assignments more intuitive and includes a new assignment calendar, which helps you document your students' progress.

0134009088 / 9780134009087Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package, 5/e

Package consists of:

  • 0133994619 / 9780133994612 Automotive Technology: Principles, Diagnosis, and Service
  • 0133995542 / 9780133995541MyAutomotiveLab with Pearson eText -- Access Code Card -- for Automotive Technology

  • Sales Rank: #610405 in Books
  • Published on: 2015-01-26
  • Original language: English
  • Number of items: 1
  • Dimensions: 12.10" h x 2.20" w x 9.30" l, .0 pounds
  • Binding: Hardcover
  • 1600 pages

About the Author

Jim Halderman brings a world of experience, knowledge, and talent to his work. His automotive service experience includes working as a flat-rate technician, a business owner, and a professor of automotive technology at a leading U.S. community college for more than 20 years.

He has a Bachelor of Science degree from Ohio Northern University and a Master’s degree in Education from Miami University in Oxford, Ohio. Jim also holds a U.S. Patent for an electronic transmission control device. He is an ASE certified Master Automotive Technician and is also Advanced Engine Performance (L1) ASE certified. Jim is the author of many automotive textbooks, all published by Pearson Education.

Jim has presented numerous technical seminars to national audiences, including the California Automotive Teachers (CAT) and the Illinois College Automotive Instructor Association (ICAIA). He is also a member and presenter at the North American Council of Automotive Teachers (NACAT). Jim was also named Regional Teacher of the Year by General Motors Corporation and outstanding alumni of Ohio Northern University.

Most helpful customer reviews

0 of 0 people found the following review helpful.
This volume not only educate me but also help me ...
By seow see wah
This volume not only educate me but also help me tremendously to teach my students, with so many diagrams and photos. James , a big thank you
The other side of it is a bit too heavy for me to carry to my classes.

0 of 0 people found the following review helpful.
Excellent, comes with the automotive
By InsaneSaiyan
Excellent , comes with the automotive lab

0 of 0 people found the following review helpful.
Great Start in automotives
By Amazon Customer
Something to use for years to come

See all 3 customer reviews...

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Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package (5th Edition) (Aut PDF
Automotive Technology: Principles, Diagnosis, and Service Plus MyAutomotiveLab with Pearson eText -- Access Card Package (5th Edition) (Aut PDF

Senin, 15 November 2010

[T446.Ebook] Ebook Free Data Analysis Using SAS, by Chao-Ying Joanne Peng

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Data Analysis Using SAS, by Chao-Ying Joanne Peng

Data Analysis Using SAS�offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market.�It provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems.

Designed to be used in order of teaching preference by instructor, the book is comprised of two primary sections: the first half of the text instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations. The second half of the text goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression - used to analyze data in the social, behavioral, and health sciences using SAS commands. A student study�at www.sagepub.com/pengstudy�comes replete with a multitude of computer programs, their output, specific details on how to check assumptions, as well as all data sets used in the book.

Data Analysis Using SAS is a complete resource for Data Analysis I and II, Statistics I and II, Quantitative Reasoning, and SAS Programming courses across the social and behavioral sciences and health - especially those that carry a lab component.

  • Sales Rank: #559362 in Books
  • Brand: Brand: SAGE Publications, Inc
  • Published on: 2008-08-28
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.90" h x 1.30" w x 6.80" l, 2.40 pounds
  • Binding: Paperback
  • 640 pages
Features
  • Used Book in Good Condition

Review
“Peng provides an excellent overview of data analysis using the powerful statistical software package SAS. This book is quite appropriate as a self-placed tutorial for researchers, as well as a textbook or supplemental workbook for data analysis courses such as statistics or research methods. Peng provides detailed coverage of SAS capabilities using step-by-step procedures and includes numerous comprehensive graphics and figures, as well as SAS printouts. Readers do not need a background in computer science or programming. Includes numerous examples in education, health sciences, and business.” (D. J. Gougeon 2009-03-02)

About the Author

C.Y. Joanne Peng (PhD, University of Wisconsin-Madison, Quantitative Methods with a minor in Statistics) is Professor of Educational Inquiry Methodology and Adjunct Professor of Statistics at Indiana University. Her research interests include logistic regression, missing data methods, and statistical computing using SAS, SPSS, BMDP, Minitab, CLUSTAN, Systat, and S+. She has published more than 50 refereed articles, book chapters, technical reports, and encyclopedia entries on applied statistics, psychometrics, and statistical computing. She is the author or co-author of two books on using SAS� for statistical analyses and received one BEST PAPER Award at a SAS� users annual conference. She has taught applied statistics and data analysis courses at major Research I universities for the past 20 years, including University of Wisconsin, University of Iowa, University of North Carolina, and Indiana University. She is a member of the American Statistical Association, American Educational Research Association, American Psychological Association, and the SAS Users Group International.

Most helpful customer reviews

3 of 3 people found the following review helpful.
Great Introductory Reference
By C. Ferwerda
This book is a very well-written and well-organized introduction to SAS. Each chapter includes many examples, which are clearly explained. Rather than simply explaining how to write the code, the author guides the reader through interpreting the results. If you have no experience using SAS, this is a great resource, though more intermediate users may wish to look elsewhere for a more advanced book. For me, the most helpful chapter has been 'When Do You Stop Worrying and Start Loving Regression?', which guides you through writing the initial code (including variations for different types of models) as well as interpreting and testing the results. Highly recommended!

2 of 2 people found the following review helpful.
Exceptionally good
By I Teach Typing
I have been teaching SAS (and trying to find good SAS texts) for many years and I LOVE this book.

If you need to get one book on learning the SAS language get this. It covers everything from importing, to manipulating data (sorting and making new variables), and doing analysis with exceptionally easy to understand writing and very well annotated SAS code. The code, data sets and other materials are provided on the books website. So, you can easily follow along and produce output as you work your way through the book. The organization, index and table of contents are excellent.

The only down side to the book is that it was written with SAS 9.1.3 and the current release (9.2) adds a LOT of new tools for graphics. You can make up the difference with Statistical Graphics in SAS: An Introduction to the Graph Template Language and the Statistical Graphics Procedures or by digging in the most modern SAS support website.

While the lack of coverage of the new graphics procedures is an important drawback, there is no other book which covers the SAS programming language this well.

2 of 2 people found the following review helpful.
least helpful sas book I own
By apfphd
I bought this book when I was just beginning to learn SAS and I found it to be useless. I attempted to use it numerous times only to find what I needed didn't exist in text (I'm a social science researcher who often uses multivariate and univariate statistics) although occasionally the method was referenced in the text it did not give examples or clear explanations of how to write the code in SAS.

Save your money and don't buy this worthless book.

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Kamis, 11 November 2010

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  • Sales Rank: #17461259 in Books
  • Published on: 1905-07-22
  • Binding: Paperback

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Minggu, 07 November 2010

[H698.Ebook] Free PDF Statistical Techniques in Geographical Analysis, Third Edition, by Dennis Wheeler, Gareth Shaw, Stewart Barr

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Applying statistical techniques for geogrphical data collection and analysis can be a difficult and challenging process, especially for students who have not studied formal mathematics for many years. Assumning no more knowledge than basic GCSE maths, this book provides a gentle introduction on how to confidently approach a wide range of methids and apply them in either one or both of the leading software statistical packages, SPSS and MINITAB. Statistical Techniques in Geographic Analysis provides a significant number of practical examples tht ensure understanding and promote further development. The book covers the four key areas of univariate, bivariate, multivariate and spatial techniques. Statistical Techniques in Geographic Analysis also includes a CDROM that offers students the chance to practice their application of each method in either MINITAB or SPSS.

  • Published on: 2015-10-06
  • Original language: English
  • Dimensions: .0" h x .0" w x .0" l, .0 pounds
  • Binding: Hardcover
  • 354 pages

About the Author
Gareth Shaw is Professor of Retail and Tourism Management and Associate Dean of Research at the University of Exeter Business School. He has just completed an ESRC project on innovation in the hotel industry and is currently working on an ESRC follow-on project on Sustainable travel and Social Marketing. He is an Innovation Fellow at the Advanced Institute of Management, was formerly Professor of Human Geography at Exeter and has a BA and PhD in Human Geography. He has worked on numerous research projects related to retail development all of which have been funded by major grant awarding bodies. He is an expert on retail innovation and business history and in recent years has completed a large scale AHRC project on the impact of the supermarket on consumer behaviour in post-war Britain. In addition he has written widely within tourism and produced key texts on tourism studies. He has also acted as a consultant for many local, national and international organisations. These include UNESCO, The National Trust, American Express, The European Union and Amoco Oil. He is an elected member of the International Academy of Tourism.

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0 of 0 people found the following review helpful.
It's great!!
By HJ
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Statistical Techniques in Geographical Analysis, Third Edition, by Dennis Wheeler, Gareth Shaw, Stewart Barr PDF

Statistical Techniques in Geographical Analysis, Third Edition, by Dennis Wheeler, Gareth Shaw, Stewart Barr PDF

Statistical Techniques in Geographical Analysis, Third Edition, by Dennis Wheeler, Gareth Shaw, Stewart Barr PDF
Statistical Techniques in Geographical Analysis, Third Edition, by Dennis Wheeler, Gareth Shaw, Stewart Barr PDF