Final answer:
The power of Martha’s experiment, which used an alpha of 0.05 and a beta of 0.07, is 0.93. This indicates a 93% chance that the experiment will correctly reject a false null hypothesis.
Step-by-step explanation:
The power of an experiment is the probability that the test will reject a false null hypothesis (i.e., it will not make a Type II error, where you fail to reject the null hypothesis when it is in fact false). Since the beta value (Type II error rate) in Martha's experiment is given as 0.07, the power of the experiment is calculated by subtracting the beta value from 1.
Power = 1 - β
So, for Martha's experiment, the power would be:
Power = 1 - 0.07
Power = 0.93
Therefore, the power of Martha’s experiment is 0.93, which means there is a 93% chance that the experiment will correctly reject a false null hypothesis.