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 | | Student's Solutions Manual for Miller & Freund's Probability and Statistics for Engineers by Richard Johnson ISBN-10: 9780131437463 ISBN-10: 0-13-143746-1 ISBN-13: 9780131437463 ISBN-13: 978-0-13-143746-3 Paperback 2004-11-04 Prentice Hall Find Lowest Price |
Editorials | ||
Product Description This example-rich exploration of both elementary probability and basic statistics places a strong emphasis on engineering and science applications. Coverage explores the treatment of data; probability; probability distributions; probability densities; sampling distributions; inferences concerning means; inferences concerning variances; inferences concerning proportions; nonparametric tests; curve fitting; analysis of variance; factorial experimentation; the statistical content of quality-improvement programs; and applications to reliability and life testing. For practicing engineers or anyone interested in probability and statistics. | ||
Reviews | ||
jester3611 Be aware that you're purchasing a "Solutions Manual". The answers/solutions are to questions that are not in this book. The questions are in another textbook. | ||
One of the better statistics books For the most part this is actually one of the better statistics books I have used. It's greatest strengths lie in the number of examples provided and the "Do's and Don'ts" at the end of each chapter. The narratives and proofs do a fairly decent job of introducing and developing new concepts and formulas, and there is generally a good segway from one topic to the next. If you have other statistics books like I do, this book actually does a good enough job deriving each distribution that things became clear here that I had always puzzled over in my other books. It is admittedly a bit distracting at times when an example references data from an earlier example in a previous chapter requiring you to bookmark pages with your fingers so that you can flip back and forth as you work through an example. In other areas, at times an example might skip a few steps which will require you to think through how they made the leap. Still, despite these shortcomings and the occassional errata, I still believe this is one of the better statistics textbooks. | ||
Right Book, Arrived Quickly They send me the book I ordered, and it arrived long before the expected date. It was not the book I needed, but that was my own mistake. | ||
Not Good This is probably the second worst textbook I have ever read. I have struggled through the third chapter. In some cases, the text seems as though it was written for elementary school math covering set therory: extremely detailed and excessively verbose. In other cases, the text throws out examples without explaining any reasoning, or any how or why a formula is used. The text continually refers to examples in previous sections, which forces the reader to search back through the text. The interuption is distracting and annoying. In many cases, the page numbers where the example can be found are not given. The text also does this with the exercises, forcing the student to wear-out the pages. Sometimes, I feel as though I need two copies of the textbook so I don't waste so much time thumbing back and forth. I have ended up reading and re-reading the text while trying to understand some of the concepts and rational. In some areas, the author does not explain anything. While other times, the text continues for pages explaining things that an elementry school graduate should know. I am waiting to see multiplication tables in future chapters. All the while, some college level information is brushed-over. I typically need to work several exercises and beat my head against the wall a few times until I go ah ha! Why didn't the author explain this. With textbooks like this, it is no wonder engineers have a reputation for poor communication skills. | ||
Smooth and useful text for probability and statistical tests The book is rather well written. It starts with verty simple probability theory and then describes densities and gets into tests and other topics. The level of math is reasonable and I think undergraduates in both engineering and economics should be able to handle that level of math. Every topic comes with numerical examples which makes it easy to get ideas. There are exercises in the book too and many of them (but not all of them) are helpful for understanding. At the end of the book you can conveniently find tables of distributions and different statistics you can use. I am still using those tables for my works. The only downside is that the book doesn't cover much of probability (like functions of random variables). The distribution covered are mainly to build basis for later chapters about testing. So I would say this is a good book for those who want to learn statistical tests and reliability. | ||