MathematicsExam code: 0580

Histograms

Statistics

Back to frequencies

  • Going the other way, multiply each bar's frequency density by its class width to recover the frequency
  • A question gives the histogram and asks for the frequency of a class, sometimes by filling in a table
  • Add the frequencies to find the total number of items where the question needs it

Part of a bar

  • Where a question asks about only part of a class, take the matching part of that bar's area
  • The frequency density is constant across the bar, so the frequency for part of it is that frequency density times the part-width
  • This assumes the data is spread evenly through the class, which is why the answer is an estimate

Worked example

Reading frequencies off a histogram

The histogram shows the masses of the 110 items from the first worked example in this note. Find the frequency for the class 20 < m ⩽ 30, and estimate how many items have a mass between 30 g and 40 g.

A histogram with mass in grams from 0 to 80 along the horizontal axis and frequency density from 0 to 4 up the vertical axis. Four bars of unequal width sit side by side with no gaps: from 0 to 20 at height 1.2, from 20 to 30 at height 3.5, from 30 to 50 at height 1.5, and from 50 to 80 at height 0.7.

Solution:

  • For the whole class, frequency = frequency density × class width
  • The bar for 20 < m ⩽ 30 has frequency density 3.5 and width 10
  • Frequency = 3.5 × 10 = 35 items, matching the original table
  • For 30 g to 40 g, this is part of the class 30 < m ⩽ 50, whose frequency density is 1.5
  • The part-width is 40 − 30 = 10
  • Estimated frequency = 1.5 × 10 = 15 items
  • This is an estimate because it assumes the 30 items in that class are spread evenly across its full width of 20

Comparing two histograms

  • Two histograms can be compared by eye only when both use frequency density on the same vertical scale
  • Otherwise read the frequency densities off each one, using its own scale, before comparing them

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