Based on a large national sample of working adults, the U.S. Census Bureau reports the following information on travel time to work for those who do not work at home. lower quartile-9 minutes median 16 minutes upper quartile-35 minutes Also given was the mean travel time, which was reported as 22.6 min. (a) What does this suggest about the travel time distribution? O It is approximately symmetric. OIt is negatively skewed. O It is positively skewed. (b) Suppose that the minimum travel time was 1 minute and that the maximum travel time in the sample was 205 minutes. Construct a skeletal boxplot for the travel time data. (Hint: See Example 4.10.) O 100 150 200 (c) Were there any extreme outliers in the data set? How can you tell? (Hint: See Example 4.11.) There-Select- since-Select- 50 100 150 than ? interquartile ranges away from the nearest quartile 100 Were there any mild outliers in the data set? How can you tell? (Hint: See Example 4.11.) O We can't be certain. However, because no extreme outliers are present but the data is still skewed, we can be reasonably confident that there are some mild outliers. O Since the data came from a large sample, there must be mild outliers present in the data given the skewness of the data set. O Given that the data came from a large sample, any outliers present are likely to be extreme outliers rather than mild ones. O Since the data set doesn't show any signs of skewness, it is unreasonable to think that there would be any mild outliers. O We can't be certain. However, because the data came from a large sample and we know at least one extreme outlier is present, we can be reasonably confident that there are some mild outliers 150 100 250

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Based on a large national sample of working adults, the U.S. Census Bureau reports the following information on travel time to work for those who do not work at home.
lower quartile = 9 minutes
median = 16 minutes
upper quartile = 35 minutes
Also given was the mean travel time, which was reported as 22.6 min.
(a) What does this suggest about the travel time distribution?
O It is approximately symmetric.
O It is negatively skewed.
It is positively skewed.
(b) Suppose that the minimum travel time was 1 minute and that the maximum travel time in the sample was 205 minutes. Construct a skeletal boxplot for the travel time data. (Hint: See Example 4.10.)
50
100
150
200
250
(c) Were there any extreme outliers in the data set? How can you tell? (Hint: See Example 4.11.)
There ---Select---
since ---Select---
50
100
150
200
250
✓than ? ✓interquartile ranges away from the nearest quartile.
50
100
Were there any mild outliers in the data set? How can you tell? (Hint: See Example 4.11.)
O We can't be certain. However, because no extreme outliers are present but the data is still skewed, we can be reasonably confident that there are some mild outliers.
O Since the data came from a large sample, there must be mild outliers present in the data given the skewness of the data set.
O Given that the data came from a large sample, any outliers present are likely to be extreme outliers rather than mild ones.
O Since the data set doesn't show any signs of skewness, it is unreasonable to think that there would be any mild outliers.
O We can't be certain. However, because the data came from a large sample and we know at least one extreme outlier is present, we can be reasonably confident that there are some mild outliers.
150
HO
200
250
50
100
150
200
250
Transcribed Image Text:Based on a large national sample of working adults, the U.S. Census Bureau reports the following information on travel time to work for those who do not work at home. lower quartile = 9 minutes median = 16 minutes upper quartile = 35 minutes Also given was the mean travel time, which was reported as 22.6 min. (a) What does this suggest about the travel time distribution? O It is approximately symmetric. O It is negatively skewed. It is positively skewed. (b) Suppose that the minimum travel time was 1 minute and that the maximum travel time in the sample was 205 minutes. Construct a skeletal boxplot for the travel time data. (Hint: See Example 4.10.) 50 100 150 200 250 (c) Were there any extreme outliers in the data set? How can you tell? (Hint: See Example 4.11.) There ---Select--- since ---Select--- 50 100 150 200 250 ✓than ? ✓interquartile ranges away from the nearest quartile. 50 100 Were there any mild outliers in the data set? How can you tell? (Hint: See Example 4.11.) O We can't be certain. However, because no extreme outliers are present but the data is still skewed, we can be reasonably confident that there are some mild outliers. O Since the data came from a large sample, there must be mild outliers present in the data given the skewness of the data set. O Given that the data came from a large sample, any outliers present are likely to be extreme outliers rather than mild ones. O Since the data set doesn't show any signs of skewness, it is unreasonable to think that there would be any mild outliers. O We can't be certain. However, because the data came from a large sample and we know at least one extreme outlier is present, we can be reasonably confident that there are some mild outliers. 150 HO 200 250 50 100 150 200 250
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