Answer:
Reject Test.
Explanation:
Our values are:





We have here a Null Hypothesis of

We calculate Z through Test Statistic,



We can make now the comparation between our value with the critical value of Z_c = 1.96
a)
= 1.64 at one tailed test,
Therefore

we reject H_0
b)
= 1.96 at two tailed test
Therefore
we reject H_0
In this way the population mean

We can comprobate that both these test reject the null hypothesis