The power of a test is the probability that a test will reject a false null hypothesis. (= 1–Prob(Type II Error)).[br]In the graph of hypothesized and actual distributions below the power of a right tailed test is represented by the green shaded area. [br]Move the sliders to see how[br](i) difference between hypothesized and actual means[br](ii) standard error (which is smaller for larger samples)[br] (iii) alpha level[br]affect the power of the test