A discrete variable can take on only the values 0, 1, or 2. Use the set of 20 measurements on this variable to answer the question. 02210 21100 11000 10001 A stem and leaf plot of the data is given below. leaf 00000000000 1 0000000 2 000 OOO stem Describe the shape of the distribution. Do you see any outliers? The distribution is skewed to the right with several extremely large outliers. The distribution is mound-shaped with no obvious outliers. The distribution is skewed to the left with no obvious outliers. The distribution is skewed to the left with several extremely small outliers. The distribution is skewed to the right with no obvious outliers.

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A discrete variable can take on only the values 0, 1, or 2. Use the set of 20 measurements on this variable to answer the question.
02210
21100
11000
1 0001
A stem and leaf plot of the data is given below.
stem
leaf
00000000000
10000000
2 000
Describe the shape of the distribution. Do you see any outliers?
The distribution is skewed to the right with several extremely large outliers.
The distribution is mound-shaped with no obvious outliers.
The distribution is skewed to the left with no obvious outliers.
O The distribution is skewed to the left with several extremely small outliers.
The distribution is skewed to the right with no obvious outliers.
Transcribed Image Text:A discrete variable can take on only the values 0, 1, or 2. Use the set of 20 measurements on this variable to answer the question. 02210 21100 11000 1 0001 A stem and leaf plot of the data is given below. stem leaf 00000000000 10000000 2 000 Describe the shape of the distribution. Do you see any outliers? The distribution is skewed to the right with several extremely large outliers. The distribution is mound-shaped with no obvious outliers. The distribution is skewed to the left with no obvious outliers. O The distribution is skewed to the left with several extremely small outliers. The distribution is skewed to the right with no obvious outliers.
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