Question

Sample data for the arrival delay times (in minutes) of airlines flights is given below. Determine whether they appear to be from a population with a normal distribution. Assume that this requirement is loose in the sense that the population distribution need not be exactly normal, but it must be a distribution that is roughly bell-shaped. Click the icon to view the data set. Is the requirement of a normal distribution satisfied? A. No, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. B. No, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. C. Yes, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line. D. Yes, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line. Arrival delay times (minutes) Arrival delay times (minutes) 10 -19 39 -31 -14 -24 16 109 -34 5 -30 -17 9 -28 -17 45 -41 -33 -22 -35 -3 -33 -3 -32 13 -29 103 -29 18 -2 45 -5 -25 6 -22 5 -44 9 -46 2

          Sample data for the arrival delay times (in minutes) of airlines flights is given below. Determine whether they appear to be from a population with a normal distribution. Assume that this requirement is loose in the sense that the population distribution need not be exactly normal, but it must be a distribution that is roughly bell-shaped.
Click the icon to view the data set.
Is the requirement of a normal distribution satisfied?
A. No, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line.
B. No, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line.
C. Yes, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line.
D. Yes, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line.
Arrival delay times (minutes)
Arrival delay times (minutes)
10 -19 39 -31 -14 -24 16 109 -34 5
-30 -17 9 -28 -17 45 -41 -33 -22 -35
-3 -33 -3 -32 13 -29 103 -29 18 -2
45 -5 -25 6 -22 5 -44 9 -46 2

Sample data for the arrival delay times (in minutes) of airlines flights is given below. Determine whether they appear to be from a population with a normal distribution. Assume that this requirement is loose in the sense that the population distribution need not be exactly normal, but it must be a distribution that is roughly bell-shaped.
Click the icon to view the data set.
Is the requirement of a normal distribution satisfied?
A. No, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line.
B. No, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line.
C. Yes, because the histogram of the data is bell shaped, there are less than two outliers, and the points in the normal quantile plot lie reasonably close to a straight line.
D. Yes, because the histogram of the data is not bell shaped, there is more than one outlier, and the points in the normal quantile plot do not lie reasonably close to a straight line.
Arrival delay times (minutes)
Arrival delay times (minutes)
10 -19 39 -31 -14 -24 16 109 -34 5
-30 -17 9 -28 -17 45 -41 -33 -22 -35
-3 -33 -3 -32 13 -29 103 -29 18 -2
45 -5 -25 6 -22 5 -44 9 -46 2

Added by Crystal N.

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