6.Which of the statements below are correct interpretations of the null standard error? You should choose all that are correct interpretations.

A.The null standard error is the probability that the null hypothesis is true.

B.The null standard error tells us the strength of the null model.

C.Under the null hypothesis model, we expect that a sample proportion will be, on average, within one null standard error of the hypothesized parameter,

0

p0.

D.The null standard error estimates the probability that the hypothesized parameter,

0

p0, is correct.

E.The null standard error estimates the width of a confidence interval for the hypothesized parameter,

0

p0.