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 computer programmers. Total Lines of Code Number of Lines of Code Programmer Written Requiring Edits Liwei 23,789 4,589 Andrew 17,962 2,780 Jaime 31,025 12,080 Sherae 26,050 3,780 Binny 19,586 1,890 Roger 24,786 4,005 Dong-Gil 24,030 5,785 Alex 14,780 1,052 Jay 30,875 3,872 Vivek 21,546 4,125 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 Liwei, what is the probability that the line of code will require editing? Round your answer to four decimal places. c. 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. I need parts B and C please

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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 computer programmers.


	Total Lines of Code	Number of Lines of Code
Programmer	Written	Requiring Edits
Liwei	23,789	4,589
Andrew	17,962	2,780
Jaime	31,025	12,080
Sherae	26,050	3,780
Binny	19,586	1,890
Roger	24,786	4,005
Dong-Gil	24,030	5,785
Alex	14,780	1,052
Jay	30,875	3,872
Vivek	21,546	4,125

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 Liwei, what is the probability that the line of code will require editing? Round your answer to four decimal places.

c. 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.

I need parts B and C please

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