Collaborative Data Science
Experimental design is the process of planning an experiment to ensure that the results obtained are valid, reliable, and can effectively answer the research question. It involves selecting the appropriate methods, controls, and procedures for conducting the experiment while minimizing bias and maximizing the accuracy of the data collected. Good experimental design is crucial for reproducibility, allowing others to replicate the study and validate findings.
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