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To remove two source of heterogeneity in the experimental units we may use
EXPLANATION
Applied Statistical Methods
- Eliminating Two Sources of Heterogeneity in Experimental Design:
- Latin Square Design (LSD) arranges treatments in an $m \times m$ square such that each treatment appears once in each row and once in each column.
- This simultaneously eliminates two orthogonal sources of variation (row variation and column variation, such as fertility gradients in two directions).
- Other Designs:
- CRD: Zero sources of restriction.
- RBD: Eliminates only one source of variation (blocks).
- Conclusion: LSD only (Option 4).
Correct option: (4) LSD only
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