Drawing upon over 40 years of experience, the authors of Statistics, 11th Edition provide students with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This accessible approach will help students tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.
Marvellous! Lays out the philosophy and equations of basic statistics in a way that’s easy to understand and is an excellent book for anyone wanting a refresher on the subject.
The only thing about statistics I had remembered from college was that a bell curve exists. Going through this text, it had an emphasis on understanding statistics presented to you. Statistics has serious limitations and the emphasis was on knowing what results mean instead of being math intensive and having you solve a bunch of tests. The examples used are often used again from another standpoint to show important experimental design is. This is a problem rampant in current science where even the tests chosen are often based on what fits experimental results instead of the other way around. Read cover to cover and I enjoyed it.