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#### Resources tagged with Handling data similar to Data Matching:

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### There are 21 results

Broad Topics > Handling, Processing and Representing Data > Handling data

### Data Matching

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

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

### Odd One Out

##### 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?

### Which List Is Which?

##### 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?

### A Random Rambling Rant

##### Age 5 to 18

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

### For Richer for Poorer

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

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

### Where Are You Flying?

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

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

### A Population Survey

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

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

### One Variable, Two Variable, Three Variable, More

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

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

### Challenging Data Tasks: the Making of "where Are You Flying?"

##### Age 16 to 18

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

### Box Plot Match

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

Match the cumulative frequency curves with their corresponding box plots.

### Perception Versus Reality

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

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

### Cricket Ratings

##### 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.

### Olympic Triathlon

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

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

### History of Morse

##### 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.

### Statistical Shorts

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

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

### Secondary Cipher Challenge Part 1

##### 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?

### Coin Toss Checker

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

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

### Helicopters

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

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

### Statistics - Maths of Real Life

##### 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.

### Very Old Man

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

Is the age of this very old man statistically believable?