Product Description
With Montgomery as well as Runger’s best-selling engineering census data text, we can sense how to request census data to genuine engineering situations. The content shows we how to make use of statistical methods to pattern as well as rise brand brand new products, as well as brand brand new production systems as well as processes. You’ll benefit the improved bargain of how these methods have been used in bland work, as well as get the ambience of unsentimental engineering knowledge by real-world, engineering-based examples as well as exercises.
Applied Statistics as well as Probability for Engineers, Student Solutions Manual
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I was thrilled at the response time, the fast shipping and I got my book right in time to do the assignment I needed done. Good work guys!
Rating: 4 / 5
The Good – The problems are thought provoking. Challenging, yet not impossible.
The Bad – Unacceptable amount of typographical errors. Practice examples have wrong page reference numbers. The book frequently refers the reader to pages that do not exist or to wrong parts of the appendices.
Overall – fine if required for class, have no choice. But if you do have a choice, choose differently.
Rating: 3 / 5
The answers it gives you are sporadic and some are hard to follow. I was expecting solutions to all the odd problems and a little more detail with the solutions. I would not recommend buying this unless it were $10 or less.
Rating: 1 / 5
Until I came across this book, I thought there was a conspiracy out there to make sure that all probability books had to be written in the most intimidating fashion possible.
This book was such a relief. The text starts off the same as most with Bayes rule and all the axioms, but it does so in a very straightforward manner. For instance, on page 66 when it does talk about the axioms, it actually defines what an axiom is first. Huh… imagine that. This is in direct contrast with books by Papoulis/Pillai and Leon-Garcia. Those books simply put down the mathematical jargon and simply presume (falsely) that you understand everything.
This book has an excellent definition of WHAT A RANDOM VARIABLE IS! Then uses numerous examples to drive the point home.
I especially like how it starts with discrete R.V. first (ch.4), then cont R.V. (ch.5). There are far more examples than needed, but I am not complaining. The book then goes onto multiple R.V.’s in chapter 6.
After this however the book loses some points in my mind (though not many). The book really goes into statistics after this and leaves the probability alone. For instance characteristic/moment generating functions are only briefly mentioned in the appendix, and functions of R.V.’s (single only) are in the appendix also. This is a super huge shame since the author’s styles are fantastic and they touch on the complicated stuff only briefly.
Nevertheless, the first 6 chapters are so well done that the book does deserve 5 stars. If you are struggling in probability (as I once was) this book will get you back on track. If this book cannot teach you the basics of probability, no book can.
Rating: 5 / 5
As a Mechanical Engineering student, I never had a Probabilty/Statistics course in college. However, this book was very clear and easy to understand. I also liked the book because the examples and writing were from the perspective of real-world manufacturing/engineering examples. It seemed to cover every aspect of statistics. The examples and exercises were very helpful, as well. Unfortunately, our class could only cover about 6 chapters, so I wasn’t able to learn more topics. However, the book peaked my interest in the topic and I may someday like to take another class on the topic. The book also seems like it will be a valuable reference when I am working in the engineering field and may need to do statistical analysis. I would recommend it to anyone taking a statistics course.
Rating: 5 / 5