Evaluating Data

How can we evaluate data? Fitness for purpose Accuracy Bias

Evaluating Data for fitness for purpose. Making sure data is suitable for the job it was collected to do. It isn’t fit for purpose if: - too few items of data - not collecting the right data

Evaluating Data for accuracy Making sure data is recorded correctly It isn’t accurate if: - Data is made up - data is missing - mistakes were made when collecting data

Evaluating Data for bias Making sure there is no preference towards a particular result It is bias if: - no representative example - you prompt a certain answer

Good data is fit for purpose, accurate and unbiased.

Your task Using the information from these slides, create an information page to be given to year 9 pupils, explaining how data should be fit for purpose, accurate and unbiased. You can use any software available to you.