What would introduce bias into a experiment?

Bias in an experiment can be introduced through various factors, including selection bias, where the participants are not representative of the larger population. Measurement bias occurs when the tools or methods used to collect data are flawed or inconsistent. Additionally, confirmation bias may lead researchers to favor data that supports their hypothesis while disregarding contradictory evidence. These biases can skew results and compromise the validity of the study.