$\backslash$table$[[,$Drug Test vs Drug Use,,$],[,$drug user,$\backslash$table$[[$non drug$],[$user$]],$Row Totals$],[\backslash$table$[[$drug test:$],[$positive$]],198,98,296],[\backslash$table$[[$drug test:$],[$negative$]],2,9702,9704],[$Column Totals,$200,9800,10,000]]$

Column Totals

If an employee's drug test comes back positive, what is the probability that the test is wrong and the employee is in fact a non drug user?

Which of the following is a correct representation of the probality above:

P$($positive I non drug user$)$

$P($positive and non drug user$)$

P$($non drug user I positive$)$