Statistics for People Who (Think They) Hate Statistics 6th Edition

This was our book for Intermediate Statistics. in my DNP program. The author explained the process thoroughly and it was easy to understand with a twist of humor thrown in!I initially rented the book, but found I wanted to keep this book as a reference for my graduate project, and so I eventually bought the book.I am one who truly thought I hated statistics but found I truly enjoyed statistics!

I really like this book. I rented it mostly because my instructor at ASU required it. While as a busy and sometimes lazy college student, I skimmed through some of the material and sometimes skipped a few pages. The times when I did actually engage, I really enjoyed the way the writer composed the book. It was informal to the point where it could be fun while providing almost all the help I needed.

Great book for the statistically challenged. Emphasizes the how's and why's opposed to just assigning a bunch of numbers to crunch. The only negative comment I have is related to the lack of alternate technology explained. IBM's SPSS is the only technology for which solving the equations is given. SPSS works great, but is expensive and complicated to learn, and was not required for my class. Other technology is available such as graphing calculators and MS Excel. If the book covered their use as well, I would give it 10 stars(if possible).

I took a college level stats course and this book was better than any tutor I asked for help.

I can not say it will make anyone like statistics but it is better than the usual statistic textbook, for sure. It gives many other examples of why statistics are important, beyond the usual behavioral science explanations, which is cool, plus, the author totally gets that most taking statistics, are forced to take it, therefore caters to those that fit in that category and really attempts to make one‘s statistics class, not suck, as much :)

The explanations and examples in this book definitely helped me understand the concepts better. However, the Kindle version (at least) is full of typos that sometimes make the book difficult to follow. For example, when explaining an equation, the symbol for X-bar simply doesn't show up. It is in the equation but just a blank in the explanation, leading to helpful statements like "<mu> is population mean, is sample mean and <sigma> is population standard deviation." That was a bit confusing at first, but as X-bar is missing throughout the book, you get used to it.Another example of confusing typos is the guidelines for effect size on page 206, which says: "A small effect size ranges from 0 to 2. A medium effect size ranges from 2 to 5. A large effect size is any value above 5." The example that goes with this section gives a Cohen's d value of 0.4, which the book then uses the guidelines to classify as a medium size effect. I had to consult other sources to determine that the guideline values were missing decimal points.I still found the book incredibly helpful. I don't know if these typos are in the print version of just in the kindle edition, but they definitely distracted from an otherwise great resource.

This is probably the most interesting math book I have ever read. Yes, statistics is not an easy subject to cover, but this book makes it less boring, easy to understand, and it is engaging. Like the book says, if your professor recommends this book for your class, they truly care about you learning this subject.

I DO hate stats, but this book actually is making my statistics class bearable. I'm not numerically inclined AT ALL and was terrified I wouldn't be able to get the concepts down enough for my major, but it's proven to be a good companion to my professor's lectures. I got the kindle version and I'm quite happy with it.