The power of the test refers to the probability that a null hypothesis will be rejected, which can be written as (1 - β).
The power of the test has a relationship with the Type I error or level of statistical significance, represented by (α), which is the probability that a null hypothesis will be rejected when the null hypothesis is true.
The Type II error, represented by (β), is the probability that a null hypothesis will be accepted when the null hypothesis is false.