First, sometimes it is not ethical or practical to randomly assign people to different experimental groups. For example, if researchers wanted to study the effect of smoking during pregnancy, it wouldn't be right to make nonsmoking pregnant women start smoking. The smokers in the study would therefore be those who selected to continue smoking, which can introduce a bias called selection bias.
Chapter:
Lies, Damned Lies, and Statistics
Section:
Hidden Bias