It is great in terms of entertainment, beats any textbook. Not sure if I would use it as a textbook for my students (I had hoped I could), but I certainly would recommend it to any stats student just to get the basics in a fun way.
I love stats. I get excited when I get to run stats for things. I bought this for a graduate class, and everyone loves it. It is not a book that simplifies stats, but rather a book that teaches more advanced statistics in a way that is intuitive and fun.
While not perfect (what book is?), this is a worthwhile treatment of statistics. Topics are covered in a accessible and adequate depth, with appropriately entertaining cartoons intermixed between the pages. At some points, it can be difficult to comprehend what the author is trying to relay, but that's coming from this reviewer (who does not possess even a basic calculus background) --if you don't fully comprehend a passage, re-read it until you do (or quickly research the theoretical aspects of the particular subject from other sources and come back to it then). For example, I could not decipher why averages taken from many samples from the same population would always, in theory, eventually form something bell-shaped (regardless of the actual population distribution) --after reading a bit from other sources, and giving it some thought, I determined that the best explanation relates to the fact that the data, as a whole, is not how the sampling distribution is developed; rather, since the sample averages/means make up the sample distribution, and those averages will tend to cluster more and more around the population mean as the sample averages begin to reflect the central tendency of the population, it will, by default, start to resemble the Gaussian/normal distribution. Consider that the mean only represents the central tendency of a data set (and not the totality of the data). That's an obvious deduction, but this was not explained in the book (the book does explain some theory, but some key points have to be thought about --the "why" for the "what").
If you are new to statistics, have taken courses in it and need a refresher, or are interested in understanding (key word there) the essential components of the subject, I highly recommend this book. Wheelan's "Naked Statistics" is also a good read, but I don't think that any one title will make you a "stats expert". I recommend that you read EVERYTHING that you can get your hands on, start working through the free online Khan Academy stats material, and practice. Practice, practice, practice.
This book is an excellent mix of a Handbook - for looking formulas for something up, and a Text - for understanding how that something came about. It's written in an enjoyable light-hearted manner, but the treatment of the material is very serious. I bought this copy because I had lost my first copy and found that it is indispensable.