In non-matched control group designs, one group is exposed to treatment while another is not.The response variable is measured in the two sample groups at the end of the experiment.This solves the problem of selection bias.

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Non-matched control group designs do not inherently solve the problem of selection bias because the groups may still differ in ways other than the treatment, which can influence the outcome. Matching or randomization is typically required to address selection bias effectively.

In Non-Matched Control Group Designs, One Group Is Exposed to Treatment