### There are 25 results

Broad Topics >

Handling, Processing and Representing Data > Handling data

##### Age 16 to 18 Challenge Level:

Is the age of this very old man statistically believable?

##### Age 16 to 18 Challenge Level:

Why MUST these statistical statements probably be at least a little
bit wrong?

##### Age 14 to 16 Challenge Level:

Can you make sense of information about trees in order to maximise the profits of a forestry company?

##### Age 16 to 18 Short Challenge Level:

In this short problem, can you deduce the likely location of the odd ones out in six sets of random numbers?

##### Age 14 to 18 Challenge Level:

Use your skill and judgement to match the sets of random data.

##### Age 14 to 16 Challenge Level:

Is it the fastest swimmer, the fastest runner or the fastest cyclist who wins the Olympic Triathlon?

##### Age 14 to 18 Challenge Level:

A geographical survey: answer the tiny questionnaire and then analyse all the collected responses...

##### Age 14 to 18 Challenge Level:

Displaying one-variable and two-variable data can be straightforward; what about three or more?

##### Age 16 to 18

How was the data for this problem compiled? A guided tour through the process.

##### Age 5 to 18

A random ramble for teachers through some resources that might add a little life to a statistics class.

##### Age 16 to 18 Challenge Level:

10 starting points for risk vs reward

##### Age 16 to 18 Challenge Level:

Can you make a set of random data which will fool the computer?

##### Age 14 to 18 Challenge Level:

Infographics are a powerful way of communicating statistical information. Can you come up with your own?

##### Age 11 to 16 Challenge Level:

Can you decide whether these short statistical statements are always, sometimes or never true?

##### Age 14 to 16 Challenge Level:

How can we make sense of national and global statistics involving very large numbers?

##### Age 14 to 16

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.

##### Age 14 to 18 Challenge Level:

This pilot collection of resources is designed to introduce key statistical ideas and help students to deepen their understanding.

##### Age 14 to 16 Challenge Level:

Six samples were taken from two distributions but they got muddled up. Can you work out which list is which?

##### Age 14 to 18

This article explores the process of making and testing hypotheses.

##### Age 7 to 18

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.

##### Age 7 to 16 Challenge Level:

Design and test a paper helicopter. What is the best design?

##### Age 14 to 16 Challenge Level:

Match the cumulative frequency curves with their corresponding box plots.

##### Age 14 to 16 Challenge Level:

Charlie has moved between countries and the average income of both has increased. How can this be so?

##### Age 14 to 18 Challenge Level:

Where do people fly to from London? What is good and bad about these representations?

##### Age 11 to 16 Challenge Level:

Here is the start of a six-part challenge. Can you get to the end and crack the final message?