Answer:
Researcher B
Explanation:
Power of statistics is the probability that a test will correctly reject a false null hypothesis.
This probability is more accurate with greater sample size as it is better representation of the population.
Therefore researcher B has more power to detect an effect since he has nearly twice sample size (40 vs 22)