# Lunch box data

## Assessment ideas

Years 3-4

#### Provide students with a dataset represented in two different ways, for example as an image and also as a combination of text and numbers in a table. Ask students questions about the data to assess their understanding. Teachers use the checklist provided to assess students and record observations.

BBC Micro:bit project

## Description

Discuss what types of foods you might see in a studentâ€™s lunch box and their own lunch box.

Talk about what class data of lunch boxes might reveal.

Introduce the image of the data set of a classes lunch boxes.

Use the resource Data patterns and representation: Data collection, analysis and presentation to guide the assessment task.

#### Interpretation of data.

What data can they interpret?

#### Present the same data in a different way. Interpret the data.

Explain to students that the table only shows the types of fruit.

#### Ask questions to assess studentsâ€™ understanding

Questions might include:

1. What is the most common fruit?
2. How many students brought more than one type of fruit in their lunch box?
3. How many of the students do not have fruit in their lunch box?

Provide the data represented using images and presented as a picture graph.

These may include values, title, headings, and a scale on axis.

Students create their own chart representing data in a different way for example a column graph using a spreadsheet.

For example:

## Assessment Checklist

This assessment checklist provides a guide to record the student’s demonstrated skills and knowledge.

Demonstrated knowledge/skills Yes/No or progressing Comments

The student explains how the same data sets can be represented in different ways.

• Compares a data set represented in two or more different ways
• Data is represented as images, numbers or text

The student can interpret data organised and displayed in different way.

• The data described is accurate
• The way the data is organised is correctly described

The student can present data using a suitable format

• Their digital chart has headings, labels and values, a suitable scale and data is organised
• The data is accurate
• Order of data has been considered (least to most, highest to lowest etc)