1. Evaluating Data

2. How can we evaluate data?
Fitness for purpose Accuracy Bias

3. 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

4. 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

5. 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

6. Good data is fit for purpose, accurate and unbiased.

7. 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.