### There are 21 results

Broad Topics >

Handling, Processing and Representing Data > Processing and representing data

##### 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:

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

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

"Too much sleep is deadly" proclaimed the newspaper headline. Is this true?

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

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

##### 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 Challenge Level:

How can we find out answers to questions like this if people often lie?

##### 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?

##### 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 14 to 16 Challenge Level:

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

##### Age 5 to 16

How can people be divided into groups fairly for events in the Paralympics, for school sports days, or for subject sets?

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

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

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

A maths-based Football World Cup simulation for teachers and students to use.

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

Substitution and Transposition all in one! How fiendish can these codes get?

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

Can you make sense of the charts and diagrams that are created and used by sports competitors, trainers and statisticians?

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

Making a scale model of the solar system

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

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

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

What biological growth processes can you fit to these graphs?

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

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

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

Can you make sense of the charts and diagrams that are created and used by sports competitors, trainers and statisticians?

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

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