Scientific discovery (as you might very well be aware) is not simply composed of bench work and raw data. Those data must be interpreted—and interpreted correctly. This is oftentimes accomplished with the use of statistics. But where, oh where, can one go to brush up on the difference between a t-test and an ANOVA? I’d head over to the StatSoft Electronic Statistics Textbook, a comprehensive online statistics reference. With over 40 chapters, this textbook covers everything from elementary concepts such as “what is a correlation?” to advanced topics like neural networks, nonparametric statistics, and process analysis. This is one resource of which every scientist should take advantage. Remember folks—just as a molecular biologist is lost without a pipette, any scientist will flounder without the proper foundation in statistics.
- Strong Points
- Weak Points
- Very Good
*The opinions expressed are solely those of the author(s) and should not be construed as reflecting the viewpoints of the publisher, Genetic Engineering & Biotechnology News, Mary Ann Liebert, Inc., the publishing house, or employees and affiliates thereof.