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It tells us that H1,H0 (alternative )hypothesis is selected
Power analysis can be used to calculate statistical significance. It compares the null hypothesis with the alternative hypothesis and looks for evidence that can reject the null hypothesis.
In statistics the null hypothesis is usually the one that asserts that the data come from some defined distribution. The alternative hypotheses may simply be that they do not, or it may be that they come from some other, defined distribution.
The null and alternative hypotheses are not calculated. They should be determined before any data analyses are carried out.
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.