How Can Experimental Design Lead to Inaccurate Results?
The design of the experiment is crucial for obtaining accurate data. Inadequate _replication_ of experiments can result in a lack of statistical significance. Additionally, failure to properly randomize the order of experiments can introduce systematic errors. Another aspect is the scale of the experiment; _scale-up_ from bench-scale to industrial scale can introduce new variables that were not present in smaller setups, potentially leading to inaccuracies.
