What are the three types of bias that can influence a scientific experiment and what do they mean?

The three types of bias that can influence a scientific experiment are selection bias, measurement bias, and confirmation bias. Selection bias occurs when the sample is not representative of the population, leading to skewed results. Measurement bias arises when the tools or methods used to collect data are flawed or inconsistent, affecting the accuracy of the findings. Confirmation bias is the tendency of researchers to favor information that confirms their pre-existing beliefs or hypotheses, potentially overlooking conflicting evidence.