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Multiple Choice
In the context of experimental design, what does 'replication' refer to, and why is it important?
A
Replication is the process of randomizing subjects to different treatment groups to eliminate bias.
B
Replication is the use of a control group to compare against the experimental group.
C
Replication is the act of increasing the sample size to improve the accuracy of measurements.
D
Replication is the process of repeating an experiment or treatment on multiple subjects or samples to ensure that results are consistent and not due to random chance.
Verified step by step guidance
1
Step 1: Understand the concept of replication in experimental design. Replication refers to the process of repeating an experiment or treatment on multiple subjects or samples to ensure that the results are consistent and not due to random chance.
Step 2: Clarify why replication is important. It helps improve the reliability and validity of experimental results by reducing the influence of random errors or anomalies.
Step 3: Differentiate replication from other experimental design concepts. For example, randomization involves assigning subjects to treatment groups to eliminate bias, while increasing sample size improves measurement accuracy but is not the same as replication.
Step 4: Recognize that replication involves conducting the same experiment multiple times or applying the same treatment to multiple subjects or samples, ensuring consistency in the observed outcomes.
Step 5: Apply this understanding to evaluate experimental designs. Check whether replication has been adequately implemented to confirm the reliability of the results and to rule out the possibility of random chance influencing the findings.