The answer to this question is x=4.
Answer:
The statistic for this case would be:

And replacing we got:

Step-by-step explanation:
For this case we have the following info:
represent the sample size
represent the number of employees that earn more than 50000

We want to test the following hypothesis:
Nul hyp. 
Alternative hyp : 
The statistic for this case would be:

And replacing we got:

And the p value would be given by:

Answer:
Step-by-step explanation:183
The square root is 8 the comment above is how you do the work^