Option a is correct. A power analysis is often used to determine the number of participants needed for a study.
Power is the likelihood of spotting an impact, presuming the effect actually exists. In other words, it is the likelihood that the null hypothesis will be rejected even if it is untrue. If, for instance, we have a straightforward trial with drug A and a placebo group, and the medicine is actually helpful, the power is the likelihood of discovering a difference between the two groups.
Therefore, suppose that this straightforward investigation was carried out numerous times and that we had a power of.8. With a power of.8, we would see a statistically significant difference between the medicine A and placebo groups 80% of the time.
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