Statistical Techniques for Data Analysis

I was helping a colleague who was using the formula for combining data sets from several sources (chapter 6). When one applies the appropriate weighting factors, the resulting standard deviation, given as 1/sqrt(sum(wi)), comes out a factor of 10 or so too small. If one looks at the definition of the weighting factors, it is clear that the results are off by a factor approximately equal to sqrt(the total number of runs), or more correctly, a weighted function of the total numbert of runs. This discussion is getting far too techical, but suffice it to say that a textbook of this sort, which is likely to be followed verbatum by an average user, should make sure that the formulas give the right results.

I have used this book in college for my lab courses. In these courses I had to perform statistical analysis of the data. There was one little problem. I did not have formal training in statistics. Well, this book will tell you in a concise way what you need to know about statistical analysis of your data. The topic of uncertainty (Chapter 5) is extremely helful and to the point. If you want to know how to analyze your data accurately and don't have much time, this is the book you need to read.