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.
Use your skill and judgement to match the sets of random data.
Can you make sense of information about trees in order to maximise the profits of a forestry company?
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.
Can you decide whether these short statistical statements are always, sometimes or never true?
A geographical survey: answer the tiny questionnaire and then analyse all the collected responses...
How can we make sense of national and global statistics involving very large numbers?
Displaying one-variable and two-variable data can be straightforward; what about three or more?
Can you do a little mathematical detective work to figure out which number has been wiped out?
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?
Is the age of this very old man statistically believable?
Why MUST these statistical statements probably be at least a little bit wrong?
10 starting points for risk vs reward
Design and test a paper helicopter. What is the best design?
Match the cumulative frequency curves with their corresponding box plots.
A random ramble for teachers through some resources that might add a little life to a statistics class.
How was the data for this problem compiled? A guided tour through the process.
Here is the start of a six-part challenge. Can you get to the end and crack the final message?
Where do people fly to from London? What is good and bad about these representations?
Charlie has moved between countries and the average income of both has increased. How can this be so?
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.
Six samples were taken from two distributions but they got muddled up. Can you work out which list is which?
If you have a large supply of 3kg and 8kg weights, how many of each would you need for the average (mean) of the weights to be 6kg?