1. Construct a box plot of the data. Be sure to use a ruler to scale accurately and draw straight edges. 2. Do you notice any potential outliers? If so, which values are they? Either way, justify your answer numerically. (Recall that any DATA that are less than Q1 – 1.5(IQR) or more than Q3 + 1.5(IQR) are potential outliers. IQR means interquartile range.) Compare the Data 1. For each of the following parts, use a complete sentence to comment on how the value obtained from the data compares to the theoretical value you expected from the distribution in the section titled Theoretical Distribution
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Plot the Data
1. Construct a box plot of the data. Be sure to use a ruler to scale accurately and draw straight edges.
2. Do you notice any potential outliers? If so, which values are they? Either way, justify your answer
numerically. (Recall that any DATA that are less than Q1 – 1.5(IQR) or more than Q3 + 1.5(IQR) are
potential outliers. IQR means interquartile range.)
Compare the Data
1. For each of the following parts, use a complete sentence to comment on how the value obtained from
the data compares to the theoretical value you expected from the distribution in the section
titled Theoretical Distribution.
a. minimum value: _______
b. first quartile: _______
c. median: _______
d. third quartile: _______
e. maximum value: _______
f. width of IQR: _______
g. overall shape: _______
2. Based on your comments in the section titled Collect the Data, how does the box plot fit or not fit what
you would expect of the distribution in the section titled Theoretical Distribution?
Discussion Question
1. Suppose that the number of values generated was 500, not 50. How would that affect what you would
expect the empirical data to be and the shape of its graph to look like?
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