Selection has been eliminated if the mean observable and unobservable characteristics of the treatment and control group are statistically the same.
Selection bias is a problem with the random sampling in statistical inference. This problem prevents meaningful inference about the usefulness of treatments by comparing the outcomes between treatment group and control group.
Answer and Explanation:
The statement is false.
Selection bias occurs when individuals selected into treatment group and control group have different observed and unobserved...
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from Statistics 101: Principles of StatisticsChapter 1 / Lesson 15