**Construct a histogram of the measurements in the table below.**

Title | Price | Title | Price | |

Moulin Rouge | $23.85 | Back in U.S. Live | $20.05 | |

$15.07 | $17.87 | |||

$24.89 | $17.49 | |||

$19.40 | $19.99 | |||

Grease | $21.15 | Wizard of Oz | $20.52 | |

$15.74 | $15.88 | |||

$19.74 | $19.98 | |||

$22.10 | $20.29 | |||

$17.22 | $17.99 | |||

$20.74 | $18.34 | |||

Sound of Music | $18.00 | $21.23 | ||

$23.99 | $18.99 |

The sample **histogram** below illustrates how the frequency of the data is related to **one variable**, in this case: price. Later more elaborate graphs will look for patterns comparing two or more variables.

- Every histogram should have a
**title**. - Each axis should be labelled with (1) the
**property**, (2) the**units**in (parentheses), and be numbered with (3) a**scale**. - The scale difference from one division to the next must be uniform. The price scale increases by $1 per division and the frequency scale increases by 1 price per division, but other uniform, appropriate quantities would be acceptable. For example, the bin size could have been increased by 10¢, $0.50, or $5 per division, but not on the same graph.
- The numbers match the bin boundary
**lines**, NOT the bin**space**. That way values in between (such as $19.74) belong in a bin (between the $19 and $20 boundaries). - The number of stacked markers shows the number of measurements that fit in that bin. For example, there were four DVDs that had prices between $19 and $20.

Again, the purpose of a graph is to make apparent any patterns in the numbers. This graph shows that popular DVDs do not all sell for the same price. They range in price from $15 to $25 with the most common price, the **mode**, being about $20.

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12/6/2002

last revised 11/20/2003 by D Trapp