Question: What is the power of the test, and what factors influence the power of the test?© BrainMass Inc. brainmass.com March 4, 2021, 5:58 pm ad1c9bdddf
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.