Session 4: Handling data
Data is a big part of our lives and can be represented in many different ways. This session will take you through a number of these representations and show you how to interpret data to find specific information. Before delving into the world of charts, graphs and averages though, it is important to make the distinction between the two different types of data:
Qualitative data – this is data that is not numerical e.g. eye – colours, favourite sports, models of cars.
Quantitative data – this is numerical data related to things that can be counted or measured e.g. temperatures, house prices, GCSE grades. Quantitative data can be discrete or continuous.
By the end of this session you will be able to:
- identify different types of data
- create and use tally charts, frequency tables and data collection sheets to record information
- draw and interpret bar charts, pie charts and line graphs
- understand there are different types of averages and be able to calculate each type
- understand that probability is about how likely an event is to happen and the different ways that it can be expressed.
We all use and generate data on a daily basis. For example, companies use data to track our shopping and offer us deals. Data has become very important.
There are many different types of data. Continuous data is something you measure, like, the length of a piece of wood. A box of nails is usually something you can count, which is called discrete data.
Different ways of displaying data include using graphs. A line graph can show the relationship between some data about a shelf. A pie chart can show the ways that someone spends their time, which is easy to see and understand as a picture.
Gathering data can help to work out different types of average – like the range, which is the difference between the lowest and highest values. Or the median, which is basically, the middle.
Data can even be used to work out probability – how likely are unlikely something is to happen, which can help you avoid unpleasant surprises.