We should design the experiment in such a way that the variations caused by extraneous factors can all be combined under the general heading of "Chance". This is called the Principle of:

Correct option is A

The Principle of Randomization refers to designing experiments so that the influence of extraneous or unknown variables is distributed randomly among treatment groups. This approach ensures that any variation caused by such factors is not systematically related to the treatments and can be treated as random error or chance, allowing for unbiased estimation of treatment effects.
Information Booster: Randomization plays a critical role in minimizing bias and confounding variables in experiments. By assigning treatments randomly, researchers prevent systematic differences between treatment groups caused by external factors. This enables the use of probability theory to assess the significance of results and helps ensure the internal validity of the study. Randomization is essential in both agricultural experiments and clinical trials.
Additional Knowledge:
· (b) Local control: Involves techniques like blocking to control known sources of variability but doesn’t address unknown variations like randomization does.
· (c) Replication: Refers to repeating the experiment or treatments multiple times to measure variability and increase reliability, complementing randomization but not replacing it.
· (d) Induction: A reasoning method in logic and philosophy, not an experimental design principle.