What do you think?
Rate this book
Applied Statistics and Probability for Engineers
Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The base content, examples, exercises and answers presented in this product have been meticulously checked for accuracy.
Kindle Edition
First published February 9, 1994
22 people are currently reading
215 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 9 of 9 reviews
August 15, 2014
If I find an error in a textbook, I make a note of it so I can let my professors know; at this point my textbook is so riddled with "error here" Post-It notes, it would have been easier to mark the pages without errors. If, like me, you are being held hostage by the textbook-industrial complex propagated by your school, here are a few things to look out for:
- Incorrect mathematics: I have no idea how this book has the gall to say that "5292+270+246=6050" [Example 2-8 page 21]. I must have missed that identity in math class.
- Internal reference errors: The text will prompt you to look at a certain figure to illustrate its point, and the figure will have nothing to do with the example. It's like they assumed nobody was reading [Figure 4.6 pg 112].
- I have a sneaking suspicion that not all the answers to the odd questions in the back are correct, but I can't prove it. Maybe I'm just too stupid to get the answers in the back, but there are literally questions just asking to count things, and the answers in the back don't agree with my counting.
- Made-up equations. This is highlighted in the text as equation to know for "lower-confidence bounds around a mean":
WTF is that? It's like some sort of post- apocalyptic dystopian math yet to be conjured up [Equation 8-8 pg 287]
- They mess up the fundamentals. I'm sorry, but a Continuous Uniform Distribution is not modeled by
f(x) =(b-a) from a Any statistician would flip their shit over that proclamation. [Equation 4-6 pg 116]
The above is just a sample of the many errors I found. I usually learn by teaching myself from text, but when they screwed up the central limit theorem, I lost all trust in this text and actually had to go to lectures to figure it out.
Beyond the errors I listed above (there are plenty more), I found it difficult to follow along with a lot of examples in this book. Some of the exercises are completely pointless or woefully underexplained. Often they would introduce an equation to use and say "We'll leave it to the reader to derive this on their own as an exercise", which baffles me. If I could derive statistical principles on my own, I don't think I'd be taking an entry level statistics class... I'd probably be with mad stat bitches flaunting all the swag I got by selling poorly written statistics textbooks.
If you have to use this book, I hope you have a good professor. Otherwise, I recommend cheating.
- Incorrect mathematics: I have no idea how this book has the gall to say that "5292+270+246=6050" [Example 2-8 page 21]. I must have missed that identity in math class.
- Internal reference errors: The text will prompt you to look at a certain figure to illustrate its point, and the figure will have nothing to do with the example. It's like they assumed nobody was reading [Figure 4.6 pg 112].
- I have a sneaking suspicion that not all the answers to the odd questions in the back are correct, but I can't prove it. Maybe I'm just too stupid to get the answers in the back, but there are literally questions just asking to count things, and the answers in the back don't agree with my counting.
- Made-up equations. This is highlighted in the text as equation to know for "lower-confidence bounds around a mean":
WTF is that? It's like some sort of post- apocalyptic dystopian math yet to be conjured up [Equation 8-8 pg 287]
- They mess up the fundamentals. I'm sorry, but a Continuous Uniform Distribution is not modeled by
f(x) =(b-a) from a Any statistician would flip their shit over that proclamation. [Equation 4-6 pg 116]
The above is just a sample of the many errors I found. I usually learn by teaching myself from text, but when they screwed up the central limit theorem, I lost all trust in this text and actually had to go to lectures to figure it out.
Beyond the errors I listed above (there are plenty more), I found it difficult to follow along with a lot of examples in this book. Some of the exercises are completely pointless or woefully underexplained. Often they would introduce an equation to use and say "We'll leave it to the reader to derive this on their own as an exercise", which baffles me. If I could derive statistical principles on my own, I don't think I'd be taking an entry level statistics class... I'd probably be with mad stat bitches flaunting all the swag I got by selling poorly written statistics textbooks.
If you have to use this book, I hope you have a good professor. Otherwise, I recommend cheating.
October 24, 2017
This book is awful. There are many mistakes in the book. Many of the practice problems have incorrect answers in the back. Formulas are introduced poorly. The equations seem out of left field and rarely are motivated to the reader. Stay away from this book.
May 15, 2018
DO NOT attempt to use this book to teach yourself. There are many errors and typos that will lead to the wrong conclusions. Use caution and consult someone who already knows statistics and probability (hopefully you have a good professor) well enough to tell you where the errors are.
June 28, 2021
- The explain is not clear with too little theory for enhancing your mathematical thinking
I don't think this is a good book to teach yourself. However, the exercises make my grades higher because i do the same problem repetitively.
I don't think this is a good book to teach yourself. However, the exercises make my grades higher because i do the same problem repetitively.
June 14, 2019
The explanations are not very clear, often mistakes in the book, and overall not structured enough to really find the concepts you are looking for.
July 4, 2020
Easy to follow steps for learning simple linear regressions with concrete examples !
Currently reading
November 15, 2021if anyone has pdf of this book please I need
June 7, 2013
Poorly written. Too many times equations are given without defining the variables. In that a given variable letter denotes different variables depending on the equation, this is a serious failing.
September 1, 2014
Theory behind and Stat layout? This book could be marvelous!
Displaying 1 - 9 of 9 reviews
Can't find what you're looking for?
Get help and learn more about the design.