(a) Clearly identify any outliers, using the IQR method. (b) Draw a boxplot. 2.159 Five number summary: (210, 260, 270, 300, 320); n = n = 500. Tails: 210, 215, 217, 221, 225, ..., 318, 319, 319, 319, 320, 320.

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2.159 explanation please.
nlocking the Power of Data, 3rd Edition
Page 111
of
SKILL BUILDER 3
Exercises 2.159 to 2.162 each describe a sample. The
information given includes the five number sum-
mary, the sample size, and the largest and smallest
data values in the tails of the distribution. In each
case:
(a) Clearly identify any outliers, using the IQR
method.
(b) Draw a boxplot.
2.159 Five number summary: (210, 260, 270, 300,
320); n = = 500.
Tails: 210, 215, 217, 221, 225, ..., 318, 319, 319, 319,
320, 320.
2.160 Five number summary: (15, 42, 52, 56, 71);
n = 120.
Tails: 15, 20, 28, 30, 31, ..., 64, 65, 65, 66, 71.
2.161 Five number summary: (42, 72, 78, 80, 99);
n = 120.
Tails: 42, 63, 65, 67, 68, ..., 88, 89, 95, 96, 99.
2.162 Five number summary: (5, 10, 12, 16, 30);
n = 40.
Tails: 5, 5, 6, 6, 6, ..., 22, 22, 23, 28, 30.
Transcribed Image Text:nlocking the Power of Data, 3rd Edition Page 111 of SKILL BUILDER 3 Exercises 2.159 to 2.162 each describe a sample. The information given includes the five number sum- mary, the sample size, and the largest and smallest data values in the tails of the distribution. In each case: (a) Clearly identify any outliers, using the IQR method. (b) Draw a boxplot. 2.159 Five number summary: (210, 260, 270, 300, 320); n = = 500. Tails: 210, 215, 217, 221, 225, ..., 318, 319, 319, 319, 320, 320. 2.160 Five number summary: (15, 42, 52, 56, 71); n = 120. Tails: 15, 20, 28, 30, 31, ..., 64, 65, 65, 66, 71. 2.161 Five number summary: (42, 72, 78, 80, 99); n = 120. Tails: 42, 63, 65, 67, 68, ..., 88, 89, 95, 96, 99. 2.162 Five number summary: (5, 10, 12, 16, 30); n = 40. Tails: 5, 5, 6, 6, 6, ..., 22, 22, 23, 28, 30.
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