Answer: No, there is not a problem with having power less than .80. Since, the sample size is small it is harder to detect the significant difference, as the probability is low, but detectable. Redesigning the experiment is unnecessary. Since, the power of a statistical test gives the likelihood of rejecting the null hypothesis when the null hypothesis is false. Power quantifies the chance that the null hypothesis will be rejected when it is false or a ‘correct decision’. Thus, power is the ability of a test to correctly with confidence reject the null hypothesis or not. Less power means there are more chances of accepting the False null hypothesis until my head hurts.
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