When the results of an experiment are unbiased, it means that they are not influenced by any systematic errors or personal biases. The data collected is fair and accurately represents the population being studied.
Related terms
Randomization: In order to ensure unbiased results, randomization involves assigning participants or treatments randomly to different groups or conditions.
Sampling Bias: This occurs when certain individuals or groups in a population have a higher probability of being included in a sample, leading to biased results.
Control Group: A control group is used in experiments to provide a baseline for comparison and helps researchers determine if the treatment had an effect by comparing it with no treatment.