Mean, Median & Mode
Why do we have different types of average?
- You’ll hear the phrase “on average” used a lot
- For example
- by politicians talking about the economy
- by sports analysts
- For example
- However not all data is numerical
- For example
- the party people voted for in the last election
- Even when data is numerical, some of the data may lead to misleading results
- For example
- This is why we have 3 types of average
What are the three types of average?
1. Mean
- This is what is usually meant by “average”
- it’s like an ideal world where everybody has the same
- everything is shared out equally
- It is the TOTAL of all the values DIVIDED by the NUMBER OF VALUES
- Add all the numbers together and divide by how many there are
- Problems with the mean occur when there are one or two unusually high (or low) values in the data (outliers)
- these can make the mean too high (or too low) to reflect any patterns in the data
2. Median
- This is similar to the word medium, which can mean in the middle
- So the median is the middle value – but beware, the data has to be arranged into numerical order first
- We would use the median instead of the mean if we did not want extreme values (outliers) affecting our data
- If there are an odd number of values, there will only be one middle value
- If there are an even number of values we would get two values in the middle
- In this case we take the half-way point between these two values
- This is usually obvious but, if not, add the two middle values and divide by 2
- this is the same as finding the mean of the middle two values
3. Mode
- Not all data is numerical and that is where we use mode
- MOde means the Most Often
- It is often used for things like “favourite …” or “… sold the most” or “… were the most popular”
- Mode is sometimes referred to as modal
- you may see phrases like “modal value”
- they all mean the same thing, the value occurring most often
- Be aware that the mode can be applied to numerical data
- Sometimes if no value/data occurs more often than the others we say there is no mode
- If two values occur the most we may say there are two modes (bi-modal)
- whether it is appropriate to do this will depend on what the data is about
- If two values occur the most we may say there are two modes (bi-modal)
Worked example
Briefly explain why the mean is not a suitable average to use in order to analyse the way people voted in the last general election.
Political parties/politicians have names and so the data is non-numerical
Suggest a better measure of average that can be used.
The mode average can be used for non-numerical data
Worked example
15 students were timed how long it took them to solve a maths problem. Their times, in seconds, are given below.
12 | 10 | 15 | 14 | 17 |
11 | 12 | 13 | 9 | 21 |
14 | 20 | 19 | 16 | 23 |
Find the mean and median times.
There are a fair amount of numbers so it may be wise to do the adding up in bits - we've used rows.
12 + 10 + 15 + 14 + 17 = 68
11 + 12 + 13 + 9 + 21 = 66
14 + 20 + 19 + 16 + 23 = 92
For the median, the data needs to be in order first.
Mean = 15.1 seconds (3 s.f.)
Median time = 14 seconds
Comment on the mode of the data.
The mode (or lack of) is easiest to see from the data listed in order in the median question above.
There are two modes (bi-modal) - 12 and 14 seconds
Alternatively we could say there is no mode.