The mean is described as the average of the numbers in a data set. It is defined as the sum of the scores divided by the number of scores.
The symbol for the mean of a sample is $\overline{x}$x, whilst the population mean is represented by the symbol $\mu$μ (Greek letter 'mu'). We typically don't have data for every member of the population, so we usually don't know $\mu$μ exactly, but we can estimate it by using the sample mean, $\overline{x}$x, from a well designed survey.
If certain scores are repeated, such as when information is given in a frequency table then we can find the total sum of all scores by multiplying each unique score by its frequency, then adding them all up.
We summarise the calculation of the mean below.
The mean of a set of data is calculated by:
$\text{Mean}=\frac{\text{Total sum of all scores}}{\text{Number of scores}}$Mean=Total sum of all scoresNumber of scores
If certain scores are repeated, then:
$\text{Total sum of all scores}=\text{sum of}\ \left(\text{Unique score}\times\text{Frequency}\right)$Total sum of all scores=sum of (Unique score×Frequency)
Now let's look at a few examples of calculating the mean of different data sets.
Find the mean from the data in the stem plot below.
Stem | Leaf | |||
$2$2 | $3$3 | $8$8 | ||
$3$3 | $1$1 | $1$1 | $1$1 | |
$4$4 | $0$0 | $3$3 | ||
$5$5 | $0$0 | $3$3 | $8$8 | $8$8 |
$6$6 | $2$2 | $2$2 | $9$9 | |
$7$7 | $1$1 | $8$8 | ||
$8$8 | $3$3 | |||
$9$9 | $0$0 | $0$0 | $1$1 |
Think: We can find the mean by adding up all of the scores, then dividing the total by the number of scores.
Do:
$\text{Mean}$Mean | $=$= | $\frac{\text{Total of all scores}}{\text{Number of scores}}$Total of all scoresNumber of scores |
$=$= | $\frac{23+28+3\times31+40+43+50+53+2\times58+2\times62+69+71+78+83+2\times90+91}{20}$23+28+3×31+40+43+50+53+2×58+2×62+69+71+78+83+2×90+9120 | |
$=$= | $\frac{1142}{20}$114220 | |
$=$= | $57.1$57.1 |
A statistician has organised a set of data into the frequency table shown.
Score ($x$x) | Frequency ($f$f) |
---|---|
$44$44 | $8$8 |
$46$46 | $10$10 |
$48$48 | $6$6 |
$50$50 | $18$18 |
$52$52 | $5$5 |
(a) Complete the frequency distribution table by adding a column showing the total sum for each unique score.
Think: For each unique score ($x$x-value), multiply it by the number of times that score appears. In other words, multiply the unique score by its frequency $\left(f\right)$(f) to find the total sum for that score.
Do: So for a score of $44$44, which occurred $8$8 times, the total score is $44\times8=352$44×8=352. Completing the entire column, we get the following table.
Score ($x$x) | Frequency ($f$f) | $fx$fx |
---|---|---|
$44$44 | $8$8 | $352$352 |
$46$46 | $10$10 | $460$460 |
$48$48 | $6$6 | $288$288 |
$50$50 | $18$18 | $900$900 |
$52$52 | $5$5 | $260$260 |
Totals | $47$47 | $2260$2260 |
(b) Calculate the mean of this data set. Round your answer to two decimal places.
Think: We calculate the mean by dividing the sum of the scores (that is, the sum of all the $fx$fx's) by the number of scores (the total frequency).
Do:
$\text{Mean}$Mean | $=$= | $\frac{\text{Total of all scores}}{\text{Number of scores}}$Total of all scoresNumber of scores |
$=$= | $\frac{2260}{47}$226047 | |
$=$= | $48.09$48.09 ($2$2 d.p.) |
Throughout this chapter and in particular for moderate to large data sets, you should use appropriate technology such as a calculator with a statistics program or your computer.
Tips:
Find the mean of the following scores:
$8$8, $15$15, $6$6, $27$27, $3$3.
Here is a line plot of the number of goals scored across each of Gwen's soccer games.
How many games were played in total?
How many goals were scored in total?
What was the average number of goals per game?
Express your answer as an exact value.
The mean of $4$4 scores is $21$21. If three of the scores are $17$17, $3$3 and $8$8, find the $4$4th score, $x$x.
Enter each line of working as an equation.