New
New
Year 9

Global data

I can use a data set to investigate predictions and evaluate findings to support a for or against argument.

New
New
Year 9

Global data

I can use a data set to investigate predictions and evaluate findings to support a for or against argument.

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Lesson details

Key learning points

  1. Advances in technology have made it easier to collect, store and analyse data on a much larger scale.
  2. Predictions can be tested and investigated using large sets of data and visualisation tools.
  3. Data and data visualisations can be used to support an argument.

Keywords

  • Data - numbers or text that, on their own, have no meaning

  • Prediction - a guess on what you think the outcome may be

  • Criteria - a factor on which you judge or decide something

Common misconception

Data is not important when presenting findings to support an argument.

Data makes your point stronger by showing real evidence.


To help you plan your year 9 computing lesson on: Global data, download all teaching resources for free and adapt to suit your pupils' needs...

To help with the demonstration of GapMinder, this video may be useful to watch prior to the lesson: https://oak.link/gm-help.
Teacher tip

Equipment

Pupils will need access to GapMinder for this lesson at https://oak.link/world-data.

Licence

This content is © Oak National Academy Limited (2025), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).

Lesson video

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Prior knowledge starter quiz

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6 Questions

Q1.
What is the main goal of data science?

creating websites
learning programming languages
designing computer hardware
Correct answer: extracting meaning from large data sets

Q2.
Which of the following is an example of a data visualisation?

spreadsheet formula
Correct answer: bar chart
text document
audio recording

Q3.
What is the term for a picture-based summary of data that tells a story?

Correct Answer: infographic

Q4.
Order the following from collecting data to gaining insight:

1 - collect data
2 - analyse the data
3 - visualise the data
4 - gain insight

Q5.
Which of these is NOT a type of data visualisation?

line graph
pie chart
infographic
Correct answer: recipe

Q6.
What is the purpose of using online tools for data visualisation?

to hide data
to make data more confusing
Correct answer: to present data clearly and visually
to delete data

Assessment exit quiz

Download quiz pdf

6 Questions

Q1.
Match each keyword to its definition:

Correct Answer:data,numbers or text that, on their own, have no meaning

numbers or text that, on their own, have no meaning

Correct Answer:prediction,a guess about what you think the outcome may be

a guess about what you think the outcome may be

Correct Answer:criteria,a factor on which you judge or decide something

a factor on which you judge or decide something

Correct Answer:data visualisation,a visual way to represent information

a visual way to represent information

Q2.
Place these actions in the correct order for investigating a prediction:

1 - make a prediction
2 - collect data
3 - analyse data
4 - draw a conclusion

Q3.
Which of the following is NOT a reason to use large data sets?

Correct answer: to make wild guesses
to test predictions
to support arguments
to investigate patterns

Q4.
What is the main purpose of using data visualisations when presenting findings?

to hide information
Correct answer: to help people see patterns and trends
to show off artistic skills
to make data harder to understand

Q5.
Match each use of data with its purpose:

Correct Answer:testing a prediction,checking if an idea is correct

checking if an idea is correct

Correct Answer:supporting an argument,giving evidence for your point of view

giving evidence for your point of view

Correct Answer:setting criteria,deciding what is important to measure

deciding what is important to measure

Correct Answer:analysing a large data set,understanding patterns and trends

understanding patterns and trends

Q6.
Why has it become easier to analyse large sets of data in recent years?

Fewer people are interested in data.
Correct answer: There have been advances in technology.
Data is less important.
There is less data available.