There is a huge variation in opting the number of replications in research articles of life sciences. For teaching and research purpose, what is the standard and best number of replications for life science scholar?
Three replicates are commonly used in life sciences experiments because it provides a reasonable balance between statistical power, feasibility, and cost. You cannot do it in duplicates because you might have to re-do it if one of your two doesn't come out as expected.
Performing experiments, especially in fields like life sciences, could be time-consuming, resource-intensive, and expensive. Three replicates offer a good compromise between statistical rigor and practicality. If you add more replicates it will only increase the workload, cost, and potential for experimental error. With at least three replicates, you can identify the potential outliers. Outliers can sometimes be a result of errors during the experiment.
While three is a common minimum, some experiments may require more replicates depending on the variability of the system being studied and the desired level of statistical confidence. If you are planning to run experiments with high variability or subtle effects, you may require more than three replicates.