According to the ALADIN Solutions, developers generally spend more than 40 hours each week working on software and web development. The Table shows the number of hours worked per week for a sample of 15 Software developers and a sample of 10 Web developers.    Software Developers 52 25 44 39 51 48 58 60 39 43 40 28 55 57 52 Web Developers 41 52 36 47 38 49 46 55 44 62 ----     a)    What is the 2nd quartile of spending working hours for web developers?   b)    Create a box plot for the number of hours worked for web developers.   c)    Create a box plot for the number of hours worked for software developers.

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According to the ALADIN Solutions, developers generally spend more than 40 hours each week working on software and web development. The Table shows the number of hours worked per week for a sample of 15 Software developers and a sample of 10 Web developers. 

 

Software Developers

52

25

44

39

51

48

58

60

39

43

40

28

55

57

52

Web

Developers

41

52

36

47

38

49

46

55

44

62

----

 

 

a)    What is the 2nd quartile of spending working hours for web developers?

 

b)    Create a box plot for the number of hours worked for web developers.

 

c)    Create a box plot for the number of hours worked for software developers.

 

d)    Comment on the differences between the box plots for Software & Web developers.

 

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"Since you have posted a question with multiple subparts, we will solve first 3 sub-parts for you. To get remaining sub-parts solved, please repost the complete question and mention the sub-parts to be solved."

There are various measures that tell about the dispersion of a data set. One of the measures of dispersion is Inter quartile range. It is computed by taking the difference of first quartile and third quartile. Interquartile range is the difference between the third quartile  and first quartile . When values are ordered from lowest to highest interquartile range indicates the middle of the values. It is calculated by dividing the data set into quartiles.

Second median is also known as second quartile shows the observations that falls above 75% of the data set.

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