The purpose of this step is to see whether the measurements or data you collected support your hypothesis. To decide if you have enough data to do so, organize your data into a graph or chart and summarize your findings.
Data are the measurements that were taken during the experiment.
Data analysis is the process of interpreting the meaning of the data. Patterns can be identified from this to help you draw conclusions.
Conclusions are the summary of the results including whether or not your hypothesis is supported and how you know this.