APFIVE Handling Missing Data in a Block Design
A researcher conducts a randomized complete block design with 5 treatments and 4 blocks. If one observation is missing, what is the most appropriate way to analyze the data while maintaining the integrity of the design?
A
Use statistical methods that can handle missing data in block designs
B
Discard the entire block containing the missing observation
C
Replace the missing value with the mean of other treatments in that block
D
Re-randomize treatments only within the affected block
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