The five-number summary and box-and-whisker plot show the centre, spread and shape of data in one picture. IEB questions ask you to draw them, compare two data sets, and describe skewness and outliers in words.
Quartiles and the interquartile range
The five-number summary is: minimum, , median (), , maximum.
- is the median of the lower half of the data.
- is the median of the upper half.
- IQR , the spread of the middle 50%.
Example. (12 values)
- Median
- and
- IQR
Five-number summary: .
Box-and-whisker diagrams
Draw a number line with a scale. Then:
- Draw a box from to .
- Draw a line inside the box at the median.
- Draw whiskers from the box to the minimum and maximum.
The box shows the middle 50% of the data. Each whisker covers 25%.
Comparing two box plots. Comment on:
- Centre: which median is higher.
- Spread: which has the larger IQR or range. A smaller IQR means more consistent data.
- Shape: skewness of each.
Skewness
- Symmetric: the median is in the middle of the box, and the whiskers are similar. Mean median.
- Positively skewed (skewed right): the median is closer to , the right whisker is longer. Mean median.
- Negatively skewed (skewed left): the median is closer to , the left whisker is longer. Mean median.
Example. For the data above, median and median , with a long right whisker to 35. The mean is , which is greater than the median. The data is positively skewed.
Outliers
An outlier is a value far from the rest of the data. A common rule:
Example. and . The value 35 is an outlier.
In the IEB exam the outlier rule is given in the question when you need it, so you do not have to memorise it. On a box plot, an outlier can be shown as a separate dot beyond the whisker.
Key terms
Quartiles
Values that divide ordered data into four equal parts.
Interquartile range
, the range of the middle half of the data.
Skewness
The lack of symmetry in a distribution.
Outlier
A value that lies far from the rest of the data.
Common mistakes
Finding quartiles without ordering the data first.
Including the median in both halves when finding and for odd (follow your teacher's convention, but be consistent).
Describing skewness by the side the data bunches up on, instead of the side of the long tail.
Comparing data sets with numbers only, without words about centre and spread.
Practice questions
Reveal steps one at a time, then tick the marks you earned.
Question 1
4 marks total
Determine the five-number summary of:
Worked solution
Hidden - try the question first
Question 2
4 marks total
For the same data:
(a) Calculate the interquartile range. (1)
(b) An outlier is a value greater than or less than . Show that 35 is an outlier. (3)
Worked solution
Hidden - try the question first
Question 3
6 marks total
For the same data:
(a) Calculate the mean. (2)
(b) Draw a box-and-whisker diagram. (2)
(c) Describe the skewness of the data, with two reasons. (2)
Worked solution
Hidden - try the question first
Question 4
8 marks total
Two Grade 12 classes wrote the same test. Their five-number summaries are:
- Class A:
- Class B:
(a) Calculate the IQR and range of each class. (2)
(b) Which class performed more consistently? Give a reason. (2)
(c) Describe the skewness of Class B. (2)
(d) The teacher says Class A did better because it had the highest mark. Comment on this claim. (2)
Worked solution
Hidden - try the question first
FAQs
How do I tell the skewness from a box plot?
Look at where the median sits in the box and which whisker is longer. A longer right whisker and a median near means positive skew.
Do I have to learn the 1,5 times IQR rule for outliers?
No. The IEB gives the outlier rule in the question when you need it. You must be able to apply it: work out the fences and , then compare the data with them.
What should I say when comparing two box plots?
Compare medians (centre), IQRs or ranges (spread) and skewness (shape), and always interpret the numbers in words.