Question

the accompanying data are 45 commute times to work in minutes for workers of age 16 or older in chicago. construct a frequency distribution. use a class width of 15 minutes and begin with a lower class limit of 0 minutes. do the data amounts appear to have a normal distribution? examine the data and identify anything appearing to be unique. click the icon to view the commute times. construct the frequency distribution commute time (minutes) frequency 0 - 15 15 - 30 30 - 45 45 - 60 60 - 75 75 - 90 (type whole numbers.) commute times 60 15 35 30 15 45 10 15 15 30 12 30 30 45 30 20 20 25 45 60 15 28 30 30 60 30 30 12 45 10 15 45 35 60 20 20 20 4 80 45 30 60 45 25 30

Explanation:

Step1: Define class intervals

The class - width is 15 minutes and the lower - class limit starts from 0. So the class intervals are 0 - 14, 15 - 29, 30 - 44, 45 - 59, 60 - 74, 75 - 89.

Step2: Count frequencies

For the class 0 - 14: Count the number of data values in the range 0 - 14. There are 2 values (10, 4). So the frequency is 2.
For the class 15 - 29: Count the number of data values in the range 15 - 29. There are 11 values (15, 15, 15, 15, 15, 20, 20, 20, 25, 25, 12). So the frequency is 11.
For the class 30 - 44: Count the number of data values in the range 30 - 44. There are 17 values (30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 35, 35, 30, 30, 30, 30, 30). So the frequency is 17.
For the class 45 - 59: Count the number of data values in the range 45 - 59. There are 10 values (45, 45, 45, 45, 45, 45, 45, 45, 45, 45). So the frequency is 10.
For the class 60 - 74: Count the number of data values in the range 60 - 74. There are 4 values (60, 60, 60, 60). So the frequency is 4.
For the class 75 - 89: Count the number of data values in the range 75 - 89. There is 1 value (80). So the frequency is 1.

Commute Time (minutes)	Frequency
15 - 29	11
30 - 44	17
45 - 59	10
60 - 74	4
75 - 89	1

Answer:

Commute Time (minutes)	Frequency
15 - 29	11
30 - 44	17
45 - 59	10
60 - 74	4
75 - 89	1