I would like some advice from you about what kind of statistical analysis I could do about that data.
My case is as follows: According to a research I have the information that the financial health of the company for a specific type of activity should put the following percentages on revenues:
Taxes 04.07%; Feedstock 36.18%; Employees 20.14%; Buildings 4.62%; Operating 27.12%; Other 4.95%; Profit 08.14%
Given the expected percentages on revenues, and according to the monthly revenue, I establish the values expected for each month.
But during the year I have collected informations on each indicator (taxes, feedstock, employees etc) and observe that there is difference between the expected values and the values obseravdos.
In order to analyze whether the variation between the observed and expected is still within the expected range for a healthy company, I would like to apply a statistical test. But I'm wondering if it should be F-test or Chi Square Test (or any other test)
The other question is: Should I apply the test comparing which values? I mean, if I should compare the means for each indicator, or if I should compare the sum of each indicator or even if I should compare these amounts monthly.
How do I draw any conclusions about the data? Do I need to transform them into normal distribuition or any manipulation else?
Thank you! Luis P.