<Dl> <Dd> (θ ^ − θ 0) / S E (θ ^) (\ displaystyle ((\ hat (\ theta)) - \ theta _ (0)) / (\ rm (SE)) ((\ hat (\ theta)))) </Dd> </Dl> <Dd> (θ ^ − θ 0) / S E (θ ^) (\ displaystyle ((\ hat (\ theta)) - \ theta _ (0)) / (\ rm (SE)) ((\ hat (\ theta)))) </Dd> <P> can be used as a Z - test statistic . </P> <P> When using a Z - test for maximum likelihood estimates, it is important to be aware that the normal approximation may be poor if the sample size is not sufficiently large . Although there is no simple, universal rule stating how large the sample size must be to use a Z - test, simulation can give a good idea as to whether a Z - test is appropriate in a given situation . </P>

When do you use one sample z test