What Role Does Experimental Design Play in Reducing Variability?
Careful experimental design can significantly reduce variability. Key elements include:
Replication: Conducting multiple replicates of experiments to capture inherent variability. Randomization: Randomly assigning experimental conditions to minimize systematic bias. Control experiments: Including controls to account for background variability. Blinding: Ensuring that analysts are unaware of experimental conditions to avoid bias in data interpretation.
