The power of a test is the rate at which false nulls are rejected, calculated by 1 - type II error rate (rate of accepting fake nulls)
p-value - the smallest significance level at which we would reject the null
For a 95% confidence interval, we can say 'in approximately 95% of all possible samples, the confidence interval will contain the true value of the parameter'
