The importance of spread
In many contexts, the mean or median of a set of data is
quoted without any indication of the spread of the data.
Sometimes this is not a problem; for example, the fact that
Yugoslav soccer player Savo Milosevic has scored an average of
one goal every two games since 1994 is enough to tell you that
he is an impressive striker. However, in other situations,
knowledge of the spread is important.
In the following examples, see if you can spot the flaw in the
reasoning, which in each case concerns overlooking the spread
of some quantity.
- The average June temperatures in Hong Kong and Tucson,
Arizona are both about 28
C. So you can expect similar
temperatures in Hong Kong and Tucson in June.
Answer
- The average household size is 3.6 people. So new housing
should be built to accommodate 3 to 4 person households.
Answer
- The mean weight of one-year-old boys is 22.5 pounds. So
parents of a one-year-old boy weighing 20 pounds should be
concerned about their child's development.
Answer
- Two students take an IQ test. Student 1 scores 98, and
student 2 scores 101. Since the mean IQ score is defined to
be 100, student 1 is of below average intelligence, and
student 2 is above average. Answer
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T4 Reasoning about samples]
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T3 Summarizing data]
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T3.3 Measuring the spread]
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