A short letter in the journal Nature also highlights the problem that normalization of data can cause for statistical testing of significance using a t-test. The letter (Data transformation practices in biomedical sciences) describes how normalization of data can lead to a higher rate of false positives – a worry for all scientists.
Biologists are not the best mathematicians in the world. But that’s okay because many of our experiments do not require complicated mathematical manipulations. However, we do often use statistics, and this is where our training often lets us down. Many university biology courses do not require students to study statistics and therefore many biologists lack … Continue reading