Code Churn is a common metric used to measure the efficiency and productivity of software engineers and computer programmers. It's usually measured as the percentage of a programmer's code that must be edited over a short period of time. Programmers with higher rates of code churn must rewrite code more often because of errors and inefficient programming techniques. The following table displays sample information for $10$ computer programmers.

DATA $\frac{?}{\text{b}\text{a}\text{r}}($ file $)$

$\backslash$table$[[$Programmer$,\backslash$table$[[$Total Lines of Code$],[$Written$]],\backslash$table$[[$Number of Lines of Code$],[$Requiring Edits$]]],[$Liwei$,24,850,10,960],[$Andrew$,15,631,2,640],[$Jaime$,30,020,5,634],[$Sherae$,27,031,4,650],[$Binny$,20,651,5,637],[$Roger$,24,675,6,800],[$Dong$-$Gil,$23,950,1,650],[$Alex$,15,001,4,320],[$Jay$,29,875,3,864],[$Vivek$,22,560,4,135]]$

a$.$ Use the data in the table above and the relative frequency method to determine probabilities that a randomly selected line of code will need to be edited for each programmer. Round your answers to four decimal places.

Programmer

Probability