Principles and Procedures of Statistics: A Biometrical Approach

Rating:
Summary: There are better books out there
Review: I found that Steel et al. covered a broad range of methodology needed for biological research, and that the scope of this text is comparable to any statistical manual available. It is very functional as a reference material for troubleshooting any design or analysis problems. As a professor of research methodology, I highly recommend consulting this text for improving the statistical analysis of biological research.

Rating:
Summary: Great tool for the Educator
Review: I found that Steel et al. covered a broad range of methodology needed for biological research, and that the scope of this text is comparable to any statistical manual available. It is very functional as a reference material for troubleshooting any design or analysis problems. As a professor of research methodology, I highly recommend consulting this text for improving the statistical analysis of biological research.

Rating:
Summary: There are better books out there
Review: This book is descent but a poor substitute in light of better alternatives, namely Zar's Biostatistical Analysis or Sokal and Rohlf's Biometry. Zar's book is my favorite. I am not as familar with Sokal and Rohlf's but know enough that I prefer the organization and context of Zar. The limitations of Steel et al. is the needless use of matrix algebra, the lack of calculations in many cases (instead, the linear model is presented without decomposition into formulas), the brief discription for many of the analyses, lack of good examples, and difficult to follow writing. On the positive side, Steel et al. have a chapter on experimental design, which Zar and Sokal and Rohlf lack, although it is not an easy chapter to follow. My recommendation is to use Zar as your primary "go to" reference on biostatistics.