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. Frequency Time (minutes) 0-14 4 15-29 15 30-44 11 45-59 9 60-74 75-89 5 1 (Type whole numbers.) Do the data amounts appear to have a normal distribution? OA. No, because while the distribution is approximately symmetric, the frequencies start at a maximum and become low. B. No, because while the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, the distribution is not symmetric. OC. Yes, because the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, and the distribution is approximately symmetric. OD. No, because the frequencies start at a maximum and become low, and because the distribution is not symmetric. Examine the data and identify anything appearing to be unique. Select all that apply. A. The data are presented as quantitative but are actually categorical. B. Most of the data values are rounded to the nearest 5 or 10 minutes, and may be estimates of actual commute times. C. The unusually large value of 80 minutes appears to be an error in recording the data. D. Based on the gaps in the distribution, the data appear to be from two different populations. Commute Times 60 15 30 15 45 10 10 15 30 12 30 45 30 20 20 15 25 45 60 15 28 30 60 30 45 30 12 45 20 15 30 54 45 45 35 80 45 30 60 666 60 20 20 45 45 20 225 20 30

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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.
Frequency
Time (minutes)
0-14
4
15-29
15
30-44
11
45-59
9
60-74
75-89
5
1
(Type whole numbers.)
Do the data amounts appear to have a normal distribution?
OA. No, because while the distribution is approximately symmetric, the frequencies start at a maximum and become low.
B. No, because while the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, the distribution is not symmetric.
OC. Yes, because the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, and the distribution is approximately symmetric.
OD. No, because the frequencies start at a maximum and become low, and because the distribution is not symmetric.
Examine the data and identify anything appearing to be unique. Select all that apply.
A. The data are presented as quantitative but are actually categorical.
B. Most of the data values are rounded to the nearest 5 or 10 minutes, and may be estimates of actual commute times.
C. The unusually large value of 80 minutes appears to be an error in recording the data.
D. Based on the gaps in the distribution, the data appear to be from two different populations.
Transcribed Image Text: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. Frequency Time (minutes) 0-14 4 15-29 15 30-44 11 45-59 9 60-74 75-89 5 1 (Type whole numbers.) Do the data amounts appear to have a normal distribution? OA. No, because while the distribution is approximately symmetric, the frequencies start at a maximum and become low. B. No, because while the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, the distribution is not symmetric. OC. Yes, because the frequencies start low, proceed to one or two high frequencies, then decrease to a low frequency, and the distribution is approximately symmetric. OD. No, because the frequencies start at a maximum and become low, and because the distribution is not symmetric. Examine the data and identify anything appearing to be unique. Select all that apply. A. The data are presented as quantitative but are actually categorical. B. Most of the data values are rounded to the nearest 5 or 10 minutes, and may be estimates of actual commute times. C. The unusually large value of 80 minutes appears to be an error in recording the data. D. Based on the gaps in the distribution, the data appear to be from two different populations.
Commute Times
60
15
30
15
45
10
10
15
30
12
30
45
30
20
20
15
25
45
60
15
28
30
60
30
45
30
12
45
20
15
30
54
45
45
35
80
45
30
60
666
60
20
20
45
45
20
225
20
30
Transcribed Image Text:Commute Times 60 15 30 15 45 10 10 15 30 12 30 45 30 20 20 15 25 45 60 15 28 30 60 30 45 30 12 45 20 15 30 54 45 45 35 80 45 30 60 666 60 20 20 45 45 20 225 20 30
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