Multiple choiceQuestion 1 · Recall
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By the end you can read a cumulative frequency graph to estimate the median, the quartiles, any percentile, and the proportion of the data above, below or between given values.
Cumulative frequency (CF for short) means "how many so far". For each value on the horizontal axis, the graph tells you how many data items are at or below that value.
Here is the running data set for this lesson: the masses of 80 parcels at a depot.
| Mass (kg) | ||||||
|---|---|---|---|---|---|---|
| Frequency | 6 | 14 | 24 | 20 | 12 | 4 |
| Cumulative frequency | 6 | 20 | 44 | 64 | 76 | 80 |
Each cumulative frequency is the previous one plus the next frequency: , then , then , and so on. The last value is the total, .
Each cumulative frequency is plotted at the upper end of its class. "20 parcels weigh 2 kg or less" belongs at mass 2, because only once you reach 2 kg have all 20 been counted.
The graph also starts at , the lower end of the first class: no parcel weighs 0 kg or less, so the cumulative frequency there is 0. (Here means "more than 1 kg, up to and including 2 kg".)
If you lined all parcels up from lightest to heaviest:
For those positions are , and .
The method: find the position on the cumulative frequency axis, go across to the graph, then down to the horizontal axis and read the value. In an exam, draw those lines on the graph: they are your working.
Worked example: Example 1: median and quartiles from the graph
Use the graph of the 80 parcel masses to estimate the median, the lower quartile, the upper quartile and the interquartile range (, the width of the middle half of the data).