πŸ“ Averages, Spread and Box Plots

GCSE Maths Β· Statistics (S4)

Ages 15–16 Β· Foundation & Higher

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1 The Three Averages
AverageHow to find itBest used when…
Mean$\dfrac{\text{total}}{\text{how many}}$The data have no extreme values
MedianThe middle value when orderedThere are outliers or skewed data
ModeThe most common valueThe data are categories, or you want the most popular
Order the data first before finding the median. This is the most frequently dropped mark in the whole topic.
Finding the median position
Position $= \dfrac{n+1}{2}$  β€” if this is a half, average the two values either side
Worked Example 1 β€” All three averages

Find the mean, median, mode and range of: $8, 3, 5, 8, 12, 3, 8, 9$.

β‘ Order them: $3, 3, 5, 8, 8, 8, 9, 12$
β‘‘Mean: total $= 56$; $\dfrac{56}{8} = 7$
β‘’Median: position $\dfrac{8+1}{2} = 4.5$, so average the $4$th and $5$th: $\dfrac{8+8}{2} = 8$
β‘£Mode: $8$ (appears three times)
β‘€Range: $12 - 3 = 9$
Worked Example 2 β€” Why the median can be better

Five employees earn Β£$22\,000$, Β£$24\,000$, Β£$25\,000$, Β£$26\,000$ and Β£$180\,000$. Find the mean and median, and say which better describes a typical salary.

β‘ Mean $= \dfrac{277\,000}{5} = Β£55\,400$
β‘‘Median $= Β£25\,000$ (the middle value)
β‘’Four of the five people earn less than the mean, so it is not typical.

The median is the better average here, because the one very large salary pulls the mean upwards. The median is unaffected by that outlier.

Worked Example 3 β€” Working backwards from the mean

Six numbers have a mean of $14$. Five of them are $9, 12, 15, 18$ and $11$. Find the sixth.

β‘ Total of all six $= 14 \times 6 = 84$
β‘‘Total of the five given $= 9 + 12 + 15 + 18 + 11 = 65$
β‘’Sixth number $= 84 - 65 = 19$
The key move: mean $\times$ how many $=$ the total. Almost every "find the missing value" question uses it.
2 Averages from Frequency Tables
Mean from a frequency table
$\text{mean} = \dfrac{\sum fx}{\sum f}$
Worked Example 4 β€” Ungrouped frequency table

Find the mean, median and mode number of pets.

Pets $x$Frequency $f$$fx$
$0$$7$$0$
$1$$12$$12$
$2$$9$$18$
$3$$4$$12$
$4$$3$$12$
Total$35$$54$
β‘ Mean $= \dfrac{54}{35} = 1.54$ (2 d.p.)
β‘‘Mode $= 1$ pet β€” the highest frequency ($12$).
β‘’Median: position $\dfrac{35+1}{2} = 18$th value.
β‘£Running totals: $7$, then $19$. The $18$th value falls in the "$1$ pet" group.
β‘€Median $= 1$ pet
The mode is the value, not the frequency. The answer is "$1$ pet", not "$12$".
Estimated mean from a grouped table
Use the midpoint of each class as $x$, then $\dfrac{\sum fx}{\sum f}$
Worked Example 5 β€” Grouped frequency table

Estimate the mean height and state the modal class.

Height $h$ (cm)$f$Midpoint $x$$fx$
$150 \leq h \lt 160$$8$$155$$1240$
$160 \leq h \lt 170$$17$$165$$2805$
$170 \leq h \lt 180$$12$$175$$2100$
$180 \leq h \lt 190$$3$$185$$555$
Total$40$$6700$
β‘ Midpoint $=$ average of the two class boundaries, e.g. $\dfrac{150+160}{2} = 155$.
β‘‘Estimated mean $= \dfrac{6700}{40} = 167.5$ cm
β‘’Modal class $= 160 \leq h \lt 170$ (highest frequency).
β‘£Class containing the median: the $20$th and $21$st values. Running totals $8$, $25$ β€” both fall in $160 \leq h \lt 170$.
The answer is always an estimate, because using midpoints assumes the values are evenly spread within each class.
3 Measures of Spread
Range and interquartile range
Range $=$ largest $-$ smallest
IQR $= Q_3 - Q_1$
Why the IQR is often better than the range. The range uses only the two most extreme values, so a single outlier can distort it completely. The IQR covers the middle $50\%$ of the data and ignores the extremes entirely.
Quartile positions in an ordered list
$Q_1$ at $\dfrac{n+1}{4}$  Β·  median at $\dfrac{n+1}{2}$  Β·  $Q_3$ at $\dfrac{3(n+1)}{4}$
Worked Example 6 β€” Quartiles

Find $Q_1$, the median, $Q_3$ and the IQR of: $4, 7, 9, 11, 12, 15, 18, 21, 24, 28, 31$.

β‘ $n = 11$, already ordered.
β‘‘Median at position $\dfrac{12}{2} = 6$th value $= 15$
β‘’$Q_1$ at position $\dfrac{12}{4} = 3$rd value $= 9$
β‘£$Q_3$ at position $\dfrac{3 \times 12}{4} = 9$th value $= 24$
β‘€IQR $= 24 - 9 = 15$
Worked Example 7 β€” When the position is not a whole number

Find $Q_1$ and $Q_3$ of: $2, 5, 6, 8, 11, 13, 14, 20$.

β‘ $n = 8$, so $Q_1$ is at position $\dfrac{9}{4} = 2.25$.
β‘‘This is between the $2$nd and $3$rd values, $5$ and $6$. Taking the midpoint gives $Q_1 = 5.5$.
β‘’$Q_3$ at position $\dfrac{27}{4} = 6.75$, between the $6$th and $7$th values, $13$ and $14$: $Q_3 = 13.5$.
β‘£IQR $= 13.5 - 5.5 = 8$
Exam mark schemes accept taking the midpoint of the two neighbouring values. Some textbooks interpolate more precisely, but the midpoint method is standard at GCSE.
4 Outliers
An outlier is a value far away from the rest of the data. It might be a genuine extreme value, or it might be a mistake in recording.
A common test for outliers
Below $Q_1 - 1.5 \times \text{IQR}$  or  above $Q_3 + 1.5 \times \text{IQR}$
Worked Example 8 β€” Identifying an outlier

A data set has $Q_1 = 20$ and $Q_3 = 32$. Is a value of $55$ an outlier?

β‘ IQR $= 32 - 20 = 12$
β‘‘$1.5 \times 12 = 18$
β‘’Upper boundary $= 32 + 18 = 50$
β‘£$55 \gt 50$, so yes, $55$ is an outlier.
MeasureAffected by outliers?
MeanYes β€” strongly
MedianNo
ModeNo
RangeYes β€” very strongly
IQRNo
5 Box Plots
A box plot (box-and-whisker diagram) shows five numbers: the minimum, $Q_1$, the median, $Q_3$ and the maximum.
102030 4050 minQ₁ median Q₃max the box holds the middle 50%
Reading a box plot:
β€’ Box width $=$ the IQR
β€’ Whisker to whisker $=$ the range
β€’ $25\%$ of the data lies in each of the four sections
β€’ A median off-centre in the box shows the data are skewed
Worked Example 9 β€” Drawing and reading a box plot

A data set has minimum $12$, $Q_1 = 20$, median $27$, $Q_3 = 34$ and maximum $50$. Find the range and IQR, and comment on the shape.

β‘ Range $= 50 - 12 = 38$
β‘‘IQR $= 34 - 20 = 14$
β‘’Median to $Q_1$: $27 - 20 = 7$. Median to $Q_3$: $34 - 27 = 7$. The box is symmetrical.
β‘£But the upper whisker ($50 - 34 = 16$) is much longer than the lower ($20 - 12 = 8$).

The data are positively skewed β€” stretched out towards the higher values.

6 Comparing Two Distributions
The rule for full marks
Compare an average  AND  a spread  AND  say what it means in context
Comparing only the averages loses half the marks. Two data sets with the same median can be completely different if one is far more spread out.
If…Then say…
Higher median"On average, group A scored higher"
Smaller IQR or range"Group A's results are more consistent"
Larger IQR or range"Group B's results are more varied"
Worked Example 10 β€” A full comparison

Two athletes record their long jump distances.

Median (m)IQR (m)Range (m)
Amy$5.4$$0.3$$0.9$
Beth$5.6$$0.8$$2.1$

Compare their performances, and say who you would pick for a team event where consistency matters.

β‘ Average: Beth has the higher median ($5.6$ m vs $5.4$ m), so on average she jumps further.
β‘‘Spread: Amy has a much smaller IQR ($0.3$ m vs $0.8$ m) and range, so her jumps are far more consistent.
β‘’Decision: for an event where consistency matters, choose Amy β€” you can rely on her distance. If you need one big jump to win, Beth's greater spread means she is more likely to produce an exceptional result.
Notice the answer uses the actual numbers, names the measures, and interprets them in the context of long jump. That is what earns full marks.
7 Quick Reference

Mean

Total $\div$ how many. Distorted by outliers.

Median

Middle of the ordered list; position $\dfrac{n+1}{2}$.

Mode

Most common value β€” state the value, not the frequency.

Missing value

Mean $\times$ how many $=$ total.

Table mean

$\dfrac{\sum fx}{\sum f}$; use midpoints for grouped data.

Grouped is an estimate

Midpoints assume even spread within each class.

IQR

$Q_3 - Q_1$ β€” the middle $50\%$, unaffected by outliers.

Outlier test

Beyond $Q_1 - 1.5\,\text{IQR}$ or $Q_3 + 1.5\,\text{IQR}$.

Box plot

Five values: min, $Q_1$, median, $Q_3$, max.

Comparing

Average $+$ spread $+$ context. All three.

8 Practice Questions
Question 1

Find the mean, median, mode and range of: $6, 2, 9, 6, 4, 11, 6$.

β–Ά Show solution

Ordered: $2, 4, 6, 6, 6, 9, 11$

Mean $= \dfrac{44}{7} = 6.29$ (2 d.p.)

Median: the $4$th value $= 6$

Mode $= 6$

Range $= 11 - 2 = 9$

Question 2

Seven numbers have a mean of $12$. Six of them are $8, 15, 10, 14, 9$ and $16$. Find the seventh.

β–Ά Show solution

Total $= 12 \times 7 = 84$

Sum of the six $= 8 + 15 + 10 + 14 + 9 + 16 = 72$

Seventh $= 84 - 72 = 12$

Question 3

Find the mean number of goals from this table.

Goals$0$$1$$2$$3$
Frequency$5$$8$$4$$3$
β–Ά Show solution

$\sum f = 5 + 8 + 4 + 3 = 20$

$\sum fx = 0(5) + 1(8) + 2(4) + 3(3) = 0 + 8 + 8 + 9 = 25$

Mean $= \dfrac{25}{20} = 1.25$ goals

Question 4

Estimate the mean from this grouped table, and state the modal class.

Time $t$ (min)Frequency
$0 \leq t \lt 10$$5$
$10 \leq t \lt 20$$12$
$20 \leq t \lt 30$$9$
$30 \leq t \lt 40$$4$
β–Ά Show solution

Midpoints: $5$, $15$, $25$, $35$.

$\sum fx = 5(5) + 12(15) + 9(25) + 4(35) = 25 + 180 + 225 + 140 = 570$

$\sum f = 30$

Estimated mean $= \dfrac{570}{30} = 19$ minutes

Modal class $= 10 \leq t \lt 20$

Question 5

Find the interquartile range of: $5, 8, 10, 13, 16, 19, 22, 26, 30$.

β–Ά Show solution

$n = 9$, so $Q_1$ is at position $\dfrac{10}{4} = 2.5$: midpoint of $8$ and $10$, so $Q_1 = 9$.

$Q_3$ at position $\dfrac{30}{4} = 7.5$: midpoint of $22$ and $26$, so $Q_3 = 24$.

IQR $= 24 - 9 = 15$

Question 6

A data set has $Q_1 = 14$ and $Q_3 = 26$. Determine whether $48$ is an outlier.

β–Ά Show solution

IQR $= 26 - 14 = 12$

$1.5 \times 12 = 18$

Upper limit $= 26 + 18 = 44$

$48 \gt 44$, so yes, $48$ is an outlier.

Question 7

A box plot has minimum $15$, $Q_1 = 22$, median $30$, $Q_3 = 34$, maximum $40$. Find the range and IQR, and describe the skew.

β–Ά Show solution

Range $= 40 - 15 = 25$

IQR $= 34 - 22 = 12$

Median to $Q_1$ is $30 - 22 = 8$; median to $Q_3$ is $34 - 30 = 4$.

The left half of the box is longer, and the lower whisker ($7$) is longer than the upper ($6$), so the data are negatively skewed β€” stretched towards the lower values.

Question 8

Explain why the median is a better average than the mean for house prices in a town.

β–Ά Show solution

House prices usually include a small number of very expensive properties. These act as outliers and pull the mean upwards, so the mean is higher than most people actually pay.

The median is the middle price and is unaffected by those few extreme values, so it better represents a typical house price.

Question 9

Two classes sat a test. Class P: median $58$, IQR $22$. Class Q: median $54$, IQR $9$. Write a full comparison.

β–Ά Show solution

Average: Class P has the higher median ($58$ vs $54$), so on average Class P scored better on the test.

Spread: Class Q has a much smaller IQR ($9$ vs $22$), so Class Q's marks are far more consistent, while Class P's are widely spread.

Overall: Class P did better on average, but Class Q performed much more uniformly β€” Class P probably contains both very strong and very weak students.

Question 10

The mean of $10$ numbers is $16$. A further number is added and the mean becomes $17$.

(a) Find the new number.   (b) The original $10$ numbers had a range of $12$ and a minimum of $9$. State whether the new number changes the range, explaining your answer.   (c) The smallest value, $9$, is then removed from the set of $11$. Find the new mean of the remaining $10$ numbers.

β–Ά Show solution

(a) Original total $= 16 \times 10 = 160$.

New total $= 17 \times 11 = 187$.

New number $= 187 - 160 = \mathbf{27}$

(b) The original minimum is $9$ and the range is $12$, so the original maximum is $9 + 12 = 21$.

The new number, $27$, is greater than $21$, so it becomes the new maximum.

New range $= 27 - 9 = 18$, so yes, the range increases by $6$.

(c) The set of $11$ numbers totals $187$. Removing the value $9$ leaves $10$ numbers.

New total $= 187 - 9 = 178$

New mean $= \dfrac{178}{10} = \mathbf{17.8}$

Averages, Spread & Box Plots (S4) Β· GCSE Maths Revision Β· Created with MathJax