Step 1: Understanding Randomization.
Randomization is the procedure of assigning experimental treatments to experimental units randomly.
This ensures that each unit has an equal probability of receiving any given treatment.
Step 2: Purpose.
The primary objective of randomization is to eradicate bias and distribute the influence of uncontrolled variables uniformly among treatments.
This action reduces experimental error and enhances the dependability of the outcomes.
Step 3: Checking Options.
- (1) Minimize Error: Correct. Randomization aids in the control and reduction of bias/error.
- (2) Determine Variance: Incorrect. Variance is estimated subsequently from data analysis.
- (3) Capture Coefficient of Variation: Incorrect. This metric quantifies relative variability.
- (4) Measure Critical Difference: Incorrect. The Critical Difference is derived from statistical tests, not randomization.
Step 4: Conclusion.
Therefore, the objective of randomization in a field experiment is to minimize error.