Create a confusion matrix based on the following information:

- Say that Disease X has a Prevalence of 1 in 1,000 (meaning that 1 out of every 1,000 people will have it), and the test to detect it has a False-Positive Rate of 5 percent (meaning 5 of every 100 subjects who take the it, test positive for the ailment even though they dont really have it).

- The test has a 5% False Positive rate. This means that 5% of the people that dont have the Disease X get a positive result on the test.

- Assume that the test always produces a positive result when you have the Disease X that it is testing for (i.e. false negative rate = 0).

- Finally, we assume that it is already known that in the population at large, only 1 person in 1000 actually has Disease X.