This pilot collection of resources is designed to introduce key statistical ideas and help students to deepen their understanding.
This article explores the process of making and testing hypotheses.
A random ramble for teachers through some resources that might add a little life to a statistics class.
Six samples were taken from two distributions but they got muddled up. Can you work out which list is which?
Like all sports rankings, the cricket ratings involve some maths. In this case, they use a mathematical technique known as exponential weighting. For those who want to know more, read on.
Can you decide whether these short statistical statements are always, sometimes or never true?
Infographics are a powerful way of communicating statistical information. Can you come up with your own?
Is it the fastest swimmer, the fastest runner or the fastest cyclist who wins the Olympic Triathlon?
A geographical survey: answer the tiny questionnaire and then analyse all the collected responses...
10 starting points for risk vs reward
Match the cumulative frequency curves with their corresponding box plots.
How can we make sense of national and global statistics involving very large numbers?
This short article gives an outline of the origins of Morse code and its inventor and how the frequency of letters is reflected in the code they were given.
How was the data for this problem compiled? A guided tour through the process.
Displaying one-variable and two-variable data can be straightforward; what about three or more?
Charlie has moved between countries and the average income of both has increased. How can this be so?
Here is the start of a six-part challenge. Can you get to the end and crack the final message?
Use your skill and judgement to match the sets of random data.
Where do people fly to from London? What is good and bad about these representations?
Is the age of this very old man statistically believable?
Design and test a paper helicopter. What is the best design?
Can you make sense of information about trees in order to maximise the profits of a forestry company?
Why MUST these statistical statements probably be at least a little bit wrong?