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.

Programmer	Total Lines of Code Written	Number of Lines of Code Requiring Edits
Liwei	23,839	4,599
Andrew	18,012	2,790
Jaime	31,075	12,090
Sherae	26,100	3,790
Binny	19,636	1,900
Roger	24,836	4,015
Dong-Gil	24,080	5,795
Alex	14,830	1,062
Jay	30,925	3,882
Vivek	21,596	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
Liwei
Andrew
Jaime
Sherae
Binny
Roger
Dong-Gil
Alex
Jay
Vivek

(b)

If you randomly select a line of code from Sherae, what is the probability that the line of code will not require editing? (Round your answer to four decimal places.)

(c)

Which programmer has the lowest probability of a randomly selected line of code requiring editing? (Round your answer to four decimal places.)

The lowest probability is ---Select--- Liwei Andrew Jaime Sherae Binny Roger Dong-Gil Alex Jay Vivek at .

Which programmer has the highest probability of a randomly selected line of code requiring editing? (Round your answer to four decimal places.)

The highest probability is ---Select--- Liwei Andrew Jaime Sherae Binny Roger Dong-Gil Alex Jay Vivek at .