In simple terms, Power relates to the likelihood that the null statement will be correctly denied. The change in sample size allows the experiment more adaptive and decreases the continuous distribution of the data. Then perhaps the null statement is more probable to be discarded if it is simply incorrect. It is why the strength of the analysis rises.
Thus, from the above we can conclude that the correct answer is first statement.
