Commute times 60 15 35 30 15 45 10 15 15 30 12 30 30 45 30 20 20 25 60 15 28 30 30 60 30 45 30 12 45 20 10 45 35 60 20 20 30 4 80 45 30 60 45 25 30The 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. 3 Click the icon to View the commute times. Construct the frequency distribution. Commute Time (minutes) 0. Frequency (Type whole numbers.) Do the data amounm appear to have a normal distribution? 0 A. No, because the frequencies start at a maximum and become low, and because the distribution is not symmetric. O 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. O C. 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. O D. No, because while the distribution is approximately symmetric. the frequencies start at a maximum and become low. Examine the data and identify anything appearing to be unique. Select all that apply. Most of the data values are rounded to the nearest 5 or 10 minutes, and may be estimates of actual commute times. Based on the gaps in the distribution, the data appear to be from two different populations. The unusually large value of 80 minutes appears to be an error in recording the data. IL] 9.0!\"? The data are presented as quantitative but are actually categorical