Histograms (AQA A Level Maths): Revision Note
Exam code: 7357
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Histograms
What is a histogram?
- A histogram is similar to a bar chart but with some key differences - A histogram is for displaying grouped continuous data whereas a bar chart is for discrete or qualitative data 
- There will never be any gaps between the bars of adjacent groups in a histogram 
- Whilst in a bar chart the frequency is read from the height of the bar, in a histogram the height of the bar is the frequency density 
 
- On a histogram frequency density is plotted on the y – axis - This allows a histogram to be plotted for unequal class intervals 
- It is particularly useful if data is spread out at either or both ends 
 
- The area of each bar on a histogram will be proportional to the frequency in that class 
What are the key features of a histogram?
- You will not be asked to draw a histogram but you may have to add information to one so you should make sure you are familiar with the process for drawing one 
- Step 1. Always check that there are no gaps between the upper boundary of a class and the lower boundary of the next class - If there are gaps you will need to close them by changing the boundaries before carrying out any calculations - Consider whether the values are rounded or truncated before closing the gaps 
 
 
- Step 2. Find the class width of each group by subtracting the lower boundary from the upper boundary 
- Step 3. Calculate the frequency density for each group using the formula: 
- Step 4. The histogram will be drawn with the data values on the x – axis and frequency density on the y – axis - Remember that the scale on both axes must be even, although the class widths may be uneven - Both axes should be clearly labelled and units included on the x – axis 
 
- Most often, the bars will have different widths 
 
- Occasionally you will be asked to add a frequency polygon to the histogram - This is done by joining up the midpoints at the top of each bar 
- You should not join up the first or last midpoint to the x – axis (it is not really a polygon!) 
 
How do I interpret a histogram?
- It is important to remember that the y – axis does not tell us the frequency of each bar in the histogram 
- The area of the bar gives information about the frequency - Most of the time, the frequency will be the area of the bar and is found by multiplying the class width by the frequency density 
- Occasionally, the frequency will be proportional to the area of the bar - Frequency = 
- In these cases more information will be given to help you find the value of k 
 
 
- You may be asked to find the frequency of part of a bar within a histogram - Find the area of that section of the bar using any information you have already found out 
- You will need to have found the value of k first 
 
What are frequency polygons?
- Frequency polygons are a very simple way of showing frequencies/frequency densities for continuous, grouped data and give a quick guide to how frequencies change from one class to the next 
What do I need to know about frequency polygons?
- Apart from plotting and joining up points with straight lines there are 2 rules for frequency polygons: - Plot points at the MIDPOINT of class intervals 
- Unless one of the frequencies/densities is 0 do not join the frequency polygon to the x-axis, and do not join the first point to the last one 
 
- The result is not actually a polygon but more of an open one that ‘floats’ in mid-air! 
- You may be asked to draw a frequency polygon and/or use it to make comments and compare data 

Worked Example
The table below and its corresponding histogram show the mass, in kg, of some new born bottlenose dolphins.
| Mass,  | Frequency | 
| 4 | |
| 15 | |
| 19 | |
| 
 | |
| 6 | 

(i) Use the histogram to find the value of  in the formula 
 
(ii) Estimate the number of dolphins whose weight is greater than 13 kg.


Examiner Tips and Tricks
- Remember that the area of a bar in a histogram is not always the frequency itself but could be proportional to the frequency. Look carefully at the scales on the axes, it will rarely be a simple 1 unit to 1 square. 
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