Introduction to Probability and Statistics for Engineers and Scientists 4th Edition by Sheldon M. Ross (PDF)

Description

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.As with the previous editions, Ross’ text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations.New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer scienceNew Real data examples that use significant real data from actual studies across life science, engineering, computing and businessNew End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Simply put, the book is awful. The book is filled with mistakes and errors. This makes it very hard to learn new mathematics ideas. The text and formulas are heavy and dense, which is to be expected from a math book at this level, but with so many errors you can’t trust anything the book says. If you’re taking a calc based stats class then you already know that having one symbol omitted or in the wrong spot in a formula will completely change it. How are you supposed to learn new math when you can’t trust any of the formulas you’re reading? Even the problems at the end of the chapters have many errors, so problems will give absurd answers even if you do them right. But since you’re a beginning student, you have no idea if it is your technique that was flawed or if there was a typo in the problem; and this happens EVERY time you try to do a problem set. I could go on about how the descriptions in the chapters are also uninformative, with many steps left out and no explanations about how the ideas relate to each other, but the bottom line is DO NOT BUY THIS BOOK.

⭐Has a couple of glaring typos. If you already have this book, then get the errata from the publisher’s website. Even the errata does not list all the mistakes!It has no accompanying CD containing all the datasets (tables, time-series, etc). So for topics that require entering data in to Excel or a calculator … well, you’re on your own.I have searched and searched for the data in electronic version – no luck. Someone from my company even emailed the author, but we haven’t heard back.The little stat solver utility included on the CD is quite literally, useless. It does not cover the full book. It has a solver for a few specific problems for a few specific chapters.Btw, no solution set either.Unless you’re a student who doesn’t have a choice and has to buy this book for a class … please save your money and look for something else.If you’re trying to learn statistics on your own, then I recommend the Business Statistics (Barron’s Business Review Series). It’s a well-written paperback, under $20.

⭐I’ve lost count of all the errors, but suffice it to say this so-called textbook contains more mistakes than any other I have ever seen. If only the problems stopped there. Ross’s exposition is often difficult to follow; he also leaves out just about every intermediate algebraic step in his equations, so readers get to spend extra time figuring out how he managed to get from line 1 to line 2 (which sometimes proves surprisingly difficult). Prior to my encounter with this book, I had worked with two other Prob/Stat textbooks: DeGroot (which is great, IMHO) and Devore (which I didn’t like but which looks great next to Ross). This one is by far the worst. It’s confusing, riddled with errors, and not even particularly comprehensive. Please, if you are a professor, do not use this textbook. Any “educator” who uses this for their class either hasn’t read it, doesn’t care about optimal learning outcomes, or has a sadistic streak.

⭐Assigned problems for class were often accompanied with professor’s corrections. The material isn’t easy, and the author doesn’t make any attempts to break down the concepts. You’ll read the concept, learn of some applicable uses, and shown how problems are solved. However, explanations aren’t very clear, intermediate steps are left out, and I was often left guessing on how to get from point A to point B. With no answers or thorough step-by-step solutions, I gave up on this book. The consensus of my class mates and from other classes was that this book is awful and not worth learning from. I ended up picking up Statistics for Dummies and Head First For Dummies for more clarity, and then using various free online video resources to study and try sample problems.

⭐This book is not very comprehensible and does not introduce the theorems in a way that students can gain a better understanding of the subject. As an Intro book the concepts are not truly hard but you will need a supplementary book to understand the principles that the author is explaining because this book does not do a good job. I do share the same views as a few other persons who gave the same 1 star rating.

⭐The examples start easy. But the second example is very difficult. No scaffolding from easy to difficult. The formulas are difficult to find in the text, sometimes only being found in the examples. Avoid this book if possible.

⭐My professor made this required for the class. Each week after she assigns homework problems she has to send us an email with edits because something is wrong in the book.

⭐Same as new.

⭐EXCELLENT

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