This is basically a statistics textbook with examples and problems that are geared more toward engineering contexts than what you would see in a statistics class in a pure math curriculum. Like many textbooks, it falls into the trap of giving you the basic theory for the various concepts and showing you a couple of easier examples, then giving you a problem set with a bunch of problems that are harder than the examples in the chapter. Many of the problems require the use of statistical software (in my class we used MiniTab), but the book is not really keyed to any particular software program and as a result, does not give anything more than basic instructions about how to approach those kinds of problems.
Overall, I would say the book is okay, but not great. To be honest I hated stats in general and had to really grit my teeth to get through it. I would not say that this is something you can easily teach yourself from. It explains some concepts well, but others, not so much. For example, I never did understand ANOVA no matter how many times I read the chapter text. Most people are going to get this because it is required for a class they are taking, in which case you are going to have to get it regardless. If you are looking for something to learn stats from I would definitely look for a non-textbook study aid.
Overall, I would say the book is okay, but not great. To be honest I hated stats in general and had to really grit my teeth to get through it. I would not say that this is something you can easily teach yourself from. It explains some concepts well, but others, not so much. For example, I never did understand ANOVA no matter how many times I read the chapter text. Most people are going to get this because it is required for a class they are taking, in which case you are going to have to get it regardless. If you are looking for something to learn stats from I would definitely look for a non-textbook study aid.
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