Question: What is the power of the test, and what factors influence the power of the test?
The power of a statistical test is the probability, assuming that the null hypothesis is false (i.e. an effect is significant) of obtaining a result that will allow the rejection of the null hypothesis.
There are four components that influence the power of a test:
1. Sample size, or the number of units (e.g., people) accessible to the study
2. Effect size, the difference between the means, …
This solution explains what is meant by the ‘power’ of the test and the factors that influence power are also identified. The level of power necessary to detect a reasonable departure from the null hypothesis is also discussed. This is all completed in about 255 words and includes website sources to reference throughout.