Testing hypotheses suggested by the data means trying to figure out what is causing a certain result. It's like a detective trying to solve a crime.
For example, if you want to know why something is happening in a certain way, you might look at the data available and suggest a hypothesis. For example, you might look at data about a particular plant and suggest that the amount of water it gets affects how much it grows.
Then, you can test that hypothesis to see if it is true or not. This could mean running experiments in a scientific lab, or it could mean running an experiment in the real world by changing the amount of water the plant gets and seeing if it affects the growth.
Once the experiment is finished, the data is collected and analysed to see if the hypothesis is correct. If it is found to be true, then the original hypothesis was correct. If it is false, then a new hypothesis should be suggested.
Testing hypotheses suggested by the data helps us to figure out why something is happening in a certain way, and can help us to improve future predictions as well.