a framework for us to follow when asking and answering real-world problems using data

a correlation simply measures how two things move together

a data point that significantly differs from the rest of the data in a data set

The investigative cycle

Computing

Using data to support decision making

Global data

Capturing data to investigate an issue

Data cleansing

Using data to make recommendations

In this unit pupils will discover how to use data to investigate problems and make changes to the world around them. Pupils will be exposed to both global and local data sets and gain an understanding of how visualising data can help with the process of identifying patterns and trends.

Using data science

Put these actions in order when investigating a real-world problem with data:

What is the term for a data point that is very different from the others in a data set?

What is the term for a relationship where two variables move together, but one does not necessarily cause the other?

The variables move together, but one may not cause the other.

One variable definitely causes the other.

The variables always increase at the same rate.

There is no relationship between the variables.

If two variables show a positive correlation, what does this mean?

If you see a correlation between two variables, what should you do before concluding that one causes the other?

Which change has made it easier to work with massive amounts of data?

What is the main reason to use a large data set when testing a prediction?

What is the term for a factor you use to judge or make a decision when analysing information?

Which of these is NOT a use of data visualisation?

What is one advantage of using visualisation tools with data?

This lesson will be removed by end of Summer Term 2025.

The investigative cycle

Lesson outcome

This lesson will be removed by end of Summer Term 2025.