This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques.
Probably silly to write a review of a textbook, but I was actually impressed at how clear this was, and gave explanations that made sense and helped give context to the math. I enjoyed reading it and learning stats this semester.
There were a few errors/typos in the problems that I noticed though. Maybe 3 or 4 total.
I have to take this class again. So, I have to use this book again. I am not a happy camper. I don't understand how I could get a D in my previous class if I did so well on all of the homework and quizzes. I must have really blown the final. I don't understand because I had time to check all of my answers. Does blowing the first midterm really bring a person's grade down that much? I don't think that is fair. I have to re-read this book and I am not looking forward to it, but I can guarantee that this time I'm aiming for an "A" in the class to knock that "D" out of the water. I was aiming for a "B" or even a "C" the first time. Not anymore. If I have to re-take this stupid class I'm going to get an "A" to show how stupid my other teacher was at grading the class. I feel sorry for you if you are in the same boat as me, but just remember, this too shall pass. Bring it on Statistics! I'm ready this time!
Although, statistical methods obviously involve integrals everything math related besides basic knowledge of arithmetic (PEMDAS) has been excluded to make an easy transition for almost any students’ level of math. Nevertheless, there are several mathematical erros in the book both in the examples and for the end of the chapter problems. So, double check your work with statistical software or a graphing calc would be my advise.