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 0-14 4 15-29 15 30-44 11 45-59 60-74 9 5 75-89 (Type whole numbers.) Do the data amounts appear to have a normal distribution? A. 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 WNWO 15 30 30 45 30 15 28 30 20 15 45 30 4 80 52844 15 20 60 42333 45 20 30 35 30 05468 10 15 30 15 25 45 162 12 60 30 12 45 20 20 45 25 230
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 0-14 4 15-29 15 30-44 11 45-59 60-74 9 5 75-89 (Type whole numbers.) Do the data amounts appear to have a normal distribution? A. 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 WNWO 15 30 30 45 30 15 28 30 20 15 45 30 4 80 52844 15 20 60 42333 45 20 30 35 30 05468 10 15 30 15 25 45 162 12 60 30 12 45 20 20 45 25 230
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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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.
Construct the frequency distribution.
Commute
Time (minutes)
Frequency
0-14
4
15-29
15
30-44
11
45-59
60-74
9
5
75-89
(Type whole numbers.)
Do the data amounts appear to have a normal distribution?
A. 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:Commute Times
60
WNWO
15
30
30
45
30
15
28
30
20
15
45
30
4
80
52844
15
20
60
42333
45
20
30
35
30
05468
10
15
30
15
25
45
162
12
60
30
12
45
20
20
45
25
230
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