When the alternative hypothesis is true, which one of these statements about the power of a significance test is correct?
o the power of a test is the probability of not making a type 2 error.
o the larger the standard deviation, the greater the power of significance test.
o the power of a test is the probability of a type i error.
o the larger the sample size, the smaller the power of significance test.
o the smaller the difference between the true and null values of a parameter, the larger the power.