repeating connections that help us understand how different information is related

patterns in the data that change over time

the reason or explanation for why something is done, or believed to be right

Data analysis 

Design and technology

Pupils will identify a client and investigate the client's needs and wants. They will use and develop different research techniques. They will learn about the economic viability of designs to design a product for a high-profile event.

Investigate and research: High profile event

to quickly finalise the design without needing further input

to ensure the findings match the initial assumptions exactly

Why do you need to examine your findings in detail when analysing data?

a decline in reading habits among teenagers due to digital devices

an increase in the use of renewable energy over the past decade

Match the types of trend with the examples.

a detailed plan or method for completing a task

a reason or explanation for why something is done or believed to be right

a summary of all the facts in a situation

repeating trends or connections that help us understand the data

one-time, random events that have no connection

unrelated numbers or data points with no patterns

What type of data can be counted or measured and is expressed as numbers?

Match the type of data with the ways in which it can be presented.

to understand the sizes of existing products

to understand what our target market may require or need 

to understand the anthropometric measurements of the target market

What is the purpose of a questionnaire when designing?

a team responsible for advertising the product to the public

a group of people who offer feedback on a product after it's already designed

a group of people the product is designed for based on their needs

Match the axis with whether they are vertical or horizontal.

questions that give options to choose from

questions that let people give detailed answers in their own words

questions that only allow one possible answer

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

Data analysis

Lesson outcome

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