in expanded form, it would be 800+2+0.6
Answer:
The value of the test statistic is 
Step-by-step explanation:
The null hypothesis is:

The alternate hypotesis is:

Our test statistic is:

In which X is the sample mean,
is the null hypothesis value,
is the standard deviation and n is the size of the sample.
In this problem:

So



The value of the test statistic is 
The simplified version of this equation would be
-x + y
If the mean is 32 and there is 4 numbers
then the numbers add to 32x4 which is 128
128-15-21-75=17
fourth number is 17