What a measure of central tendency is
- A measure of central tendency gives the typical value in a set of data.
- The three are the mean, the median and the mode.
- Each reduces a whole set of numbers to one value, and the three can give different values for the same data.
- The range is a measure of spread rather than of central tendency, because it describes how far apart the scores are.
- Three measures of the same data can give three different answers, so which one is quoted changes the picture a reader gets.
- The mean uses every score, which is exactly why one extreme value drags it away from the rest of the set.
- The mode is the only one of the three that works on categories, because favourite subject cannot be added up or put in order.
The mean
Mean
The arithmetic average of a set of values, found by adding them all up and dividing by how many there are.
- The mean is found by adding up every value, then dividing by how many values there are.
- Strength: every score counts towards it, so none of the data is left out.
- Weakness: one extreme score pulls it towards itself, so the mean can sit where nobody actually scored.
- Weakness: it needs numbers, so it cannot be used on categories such as favourite subject.
- It suits data where the scores are fairly evenly spread and there is no outlier.
- Adding one participant shifts the mean of the whole set, so a mean from five people moves far more easily than one from fifty.
- A mean quoted to two decimal places can suggest a precision the original measure never had, such as a rating scale marked in whole numbers.
The median
Median
The middle value once the data is placed in order of size; with an even number of values it is the mean of the middle two.
- The median is found by putting the values in order of size and taking the middle one.
- With an even number of values, add the middle two and divide by two.
- Strength: an extreme score barely moves it, because only the position of a value matters and not its size.
- Weakness: it leaves out how far apart the other values are, so two very different sets can share the same median.
- It suits data with an outlier that would pull the mean somewhere misleading.
- Reporting the median next to the mean shows at once whether an outlier is at work, because a gap between the two is the signal.
- The median can also be used on ranked data such as finishing positions, where the gaps between places are not equal.
The mode
Mode
The value that occurs most often in a set of data. For grouped data, the modal class is the group with the highest frequency.
- The mode is the value that appears most often.
- Strength: it is the one measure that works on categories, such as which mental health service pupils named most often.
- Strength: it is always a value that somebody actually recorded.
- Weakness: a set can have two modes or none at all, and the mode leaves out every value except the commonest.
- It suits a question about the most common result, and data that is not numerical.
- Worked example: seven pupils score 3, 5, 5, 6, 8, 9 and 12 words recalled on a memory task.
- Mean: the scores add to 48, and 48 divided by 7 is 6.86 words to two decimal places.
- Median: the values are already in order and the fourth of seven is the middle one, so the median is 6 words.
- Mode: 5 appears twice and every other value appears once, so the mode is 5 words.
- The same seven scores give three different typical values.
The modal class
- Data is often collected in bands rather than single values, so a frequency table shows how many fall in each band.
- The modal class is the band with the highest frequency.
- It is reported as the band itself, such as 7 to 8 hours.
- An exact mean cannot be recovered from banded data, because the individual values have been lost.
- A tally chart is the usual way this data arrives, with a totals column giving each frequency.
- Worked example: twenty pupils record how long they slept, with 4 sleeping 5 to 6 hours, 11 sleeping 7 to 8 hours and 5 sleeping 9 to 10 hours.
- The frequencies add to 20, which matches the number of pupils.
- The highest frequency is 11, so the modal class is 7 to 8 hours.
- As a fraction, 11 out of 20 pupils slept 7 to 8 hours, which is 55 per cent.
Choosing a measure of central tendency
- An outlier is a value that sits far away from the rest of the set.
- Worked example: five scores of 4, 5, 5, 6 and 30 add to 50, so the mean is 50 divided by 5, which is 10.
- Four of those five people scored 6 or less, so a mean of 10 describes nobody in the set.
- The median is the third value in order, which is 5, and that describes the group better.
- The mode fits data held in categories, and it also answers a question about the most common response.
- Reporting a measure of central tendency alongside the range tells the reader what is typical and how varied the scores were.
- The median is the middle value once the scores are in order, so the middle of an unordered list gives the wrong answer.
- The modal class is the band with the highest frequency, so the answer is a band such as 7 to 8 hours rather than the frequency of 11.
- The range measures spread rather than central tendency, because it describes how far apart the scores are.
Turning this into marks
- When a figure and a reason are both asked for, keep them as two separate points, one giving the calculation and one saying what the figure shows about the data.
- Write the calculation out, so 48 divided by 7 equals 6.86 shows the total and the division as well as the answer.
- Name the measure and its units, such as a mean of 6.86 words recalled, because a bare number does not secure the knowledge mark.
- The mark most often lost is giving the frequency when the modal class was asked for, so the answer reads 7 to 8 hours rather than 11.
- How do you calculate the mean, the median and the mode?
- Find the mean, median and mode of 2, 4, 4, 7 and 8.
- Why is the median a better choice than the mean when the data has an extreme score?
- What is the modal class, and why is the frequency not the answer?
- Which measure suits data on favourite school subject, and why?