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.   Total Lines of Code Number of Lines of Code Programmer Written Requiring Edits Liwei 24,830 5,432 Andrew 16,210 2,114 Jaime 29,750 11,596 Sherae 26,934 4,667 Binny 22,536 5,689 Roger 24,900 2,310 Dong-Gil 21,369 2,650 Alex 16,842 4,505 Jay 31,658 3,657 Vivek 23,887 4,321 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   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.  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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
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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 10 computer programmers.

  Total Lines of Code Number of Lines of Code
Programmer Written Requiring Edits
Liwei 24,830 5,432
Andrew 16,210 2,114
Jaime 29,750 11,596
Sherae 26,934 4,667
Binny 22,536 5,689
Roger 24,900 2,310
Dong-Gil 21,369 2,650
Alex 16,842 4,505
Jay 31,658 3,657
Vivek 23,887 4,321
  1. 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.
    1.    
       
      Programmer Probability
      Liwei  
      Andrew  
      Jaime  
      Sherae  
      Binny  
      Roger  
      Dong-Gil  
      Alex  
      Jay  
      Vivek  
  2. 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.
  3.  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.
Expert Solution
Step 1

Given

Programmer Total lines of code Written Number of lines of code Requiring Edits
Liwei 24,830 5,432
Andrew 16,210 2,114
Jaime 29,750 11,596
Sherae 26,934 4,667
Binny 22,536 5,689
Roger 24,900 2,310
Dong-Gil 21,369 2,650
Alex 16,842 4,505
Jay 31,658 3,657
Vivek 23,887 4,321
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