Answer:
The value of the test statistic is

Explanation:
The null hypothesis is:

The alternate hypotesis is:

Our test statistic is:

In which X is the sample mean,
is the value tested at the null hypothesis,
is the standard deviation(square roof of the variance) and n is the size of the sample.
In this problem, we have that:

So



The value of the test statistic is
