Experimental bias refers to systematic errors that can affect the results of an experiment, leading to inaccurate conclusions. It can arise from various sources during the design, conduct, or analysis of an experiment and can influence the data collected, the interpretation of results, or both. There are several types of experimental bias: 1. **Selection Bias**: This occurs when the participants or samples included in the study are not representative of the overall population.
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