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18.03 Summarising data

Lesson

Introduction

Sometimes we want to talk about a data set without having to refer to every single result. In other words, we want to summarise the data set to learn more about it and make comparisons. In the last lesson, we introduced the mode, the most frequently occurring score. In this lesson, we will learn about two more ways we can summarise numerical data sets.

Mean

The mean of a data set is an average score.

Three friends are planning a trip to Alice Springs. They plan to fly there, and discover that the airline imposes a weight limit on their luggage of 20\text{ kg} per person. On the night before the flight they weigh their luggage and find that their luggage weights form this data set: 17,\,18,\,22

One of them has packed too much. They decide to share their luggage around so that they all carry the same amount. How much does each person carry now? Thinking about it using more mathematical language, we are sharing the total luggage equally among three groups. As a mathematical expression, we find: \dfrac{17+18+22}{3}=\dfrac{57}{3}=19

Each person carries 19\text{ kg}. This amount is the mean of the data set.

If we replace every number in a numerical data set with the mean, the sum of the numbers in the data set will be the same. To calculate the mean, use the formula: \text{Mean}=\dfrac{\text{Sum of scores}}{\text{Number of scores}}

Examples

Example 1

Find the mean of the following scores:6,\,14,\,10,\,13,\,5,\,9,\,14,\,15

Give your answer as a decimal.

Worked Solution
Create a strategy

Use the formula \text{Mean}=\dfrac{\text{Sum of scores}}{\text{Number of scores}}

Apply the idea
\displaystyle \text{Mean}\displaystyle =\displaystyle \dfrac{6+14+10+13+5+9+14+15}{8}Use the formula
\displaystyle =\displaystyle \dfrac{86}{8}Add the numbers in the numerator
\displaystyle =\displaystyle 10.75Perform the division
Idea summary
\displaystyle \text{Mean}=\dfrac{\text{Sum of scores}}{\text{Number of scores}}
\bm{\text{Mean}}
is the average of the scores.

Median

The median of a data set is another kind of average.

Seven people were asked about their weekly income, and their responses form this data set: \$300,\,\$400,\,\$400,\,\$430,\,\$470,\,\$490,\,\$2900The mean of this data set is \dfrac{\$5390}{7}=\$770, but this amount doesn't represent the data set very well. Six out of seven people earn much less than this.

Instead we can select the median, which is the middle score. So for this data set the median is \$430. This weekly income is much closer to the other scores in the data set, and summarises the set better.

The median of a numerical data set is the "middle" score, and its definition changes depending on the number of scores in the data set. If there are an odd number of scores, the median will be the middle score. If there are an even number of scores, the median will be the number in between the middle two scores, and half the scores will be greater than the median, and half will be less than the median.

The image shows 2 sets of scores ordered from smallest to largest and their medians. Ask your teacher for more information.

Examples

Example 2

Find the median of the following scores: 3,\,18,\,10,\,19,\,12,\,5,\,6,\,20,\,7

Worked Solution
Create a strategy

We need to put the scores in order and find the middle score.

Apply the idea

The scores in order are:3,\,5,\,6,\,7,\,10,\,12,\,18,\,19,\,20

The middle score is 10 because it has 4 scores above it and 4 scores below it.

The median of the scores is 10.

Idea summary

To find the median of a numerical data set:

  • If there are an odd number of scores, the median will be the middle score.

  • If there are an even number of scores, the median will be the number in between the middle two scores.

Range

The range is the difference between the highest and the lowest score in a data set. Unlike the mean and the median, the range doesn't measure the center - instead it measures how spread out it is.

MTWTF
Kenji1013141611
Bjorn22713517

Two bus drivers, Kenji and Bjorn, track how many passengers board their busses each day for a week. Their results are displayed in this table.

HighestLowest
Kenji1610
Bjorn272

Both data sets have the same median and the same mean, but the sets are quite different. To calculate the range, we start by finding the highest and lowest number of passengers for each driver.

Range
Kenji16-10=6
Bjorn27-2=25

Now we subtract the lowest from the highest to find the difference, which is the range.

Notice how Kenji's range is quite small, at least compared to Bjorn's. Kenji's route may be more predictable and Bjorn's route may be more variable.

We can see that the range does not say anything about the size of the scores, just their spread.

The range of a numerical data set is the difference between the highest and the lowest score. \text{Range = Highest score - Lowest score}

Examples

Example 3

Find the range of the following scores:10,\,7,\,2,\,14,\,13,\,15,\,11,\,4

Worked Solution
Create a strategy

Use the formula \text{Range} = \text{Highest score} - \text{Lowest score.}

Apply the idea

The highest score is 15 and the lowest score is 2.

\displaystyle \text{Range}\displaystyle =\displaystyle 15-2Subtract 2 from 15
\displaystyle =\displaystyle 13Perform the subtraction
Idea summary
\displaystyle \text{{Range = Highest score - Lowest score}}
\bm{\text{Range}}
is the difference between the highest and the lowest score.

Outcomes

MA4-20SP

analyses single sets of data using measures of location, and range

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