Recommendations for sampling design for a solid statistical analysis
A brilliant data analysis does not compensate for a poorly designed experiment. The basis of any reliable knowledge lies in experimental design, and this is supported by three universal principles: Randomization (to avoid hidden biases), Replication (to confirm that results are not accidental), and Blocking (to isolate and neutralize known external variations). Investing in a robust design is the best guarantee that your statistical analysis will produce useful and secure knowledge.
Recommendations for sampling design for a solid statistical analysis Read Post »
