A.6. Graphing (Analysis)

We generally put data into a graph in order to visualize the progression or changes in the dependent variable. You will need two graphs. However, when you have both graphs you will want to combine them on one graph so it will be easier to see the differences between the Tested Variable and the Control Experiment. These differences allow you to draw conclusions as long as the data is reliable.


Step 6. Graph the Data (Analysis): Today we will graph our data so we can better understand our test results.

  1. One team will graph the changes in the temperatures between the Tested Variable and the Control Variable. The other team will graph the changes in the amount of water between the Tested Variable and the Control Variable.

Summarize what the data says about the normal outcome.

Summarize what the data tells us about water with salt in it.

2. One team will graph the changes in the temperatures between the Tested Variable and the Control Variable. The other team will graph the changes in the amount of water between the Tested Variable and the Control Variable.

Summarize what the data says freshwater.

Summarize what the data tells us about saltwater.

Restate what the data tells you. Clarification: Summarize the data in your own words. We don’t need to graph the amount of water because that was not the dependent variable we chose to measure in this experiment. It was an observation, though. Our independent variable was salt and our dependent variable was the temperature of water. It was great to get additional data b/c we expected it, but that data is secondary to our experiment. Remember: an experiment has one and only one independent variable and one and only one dependent variable. Our conclusion needs to focus and address the dependent and independent variable that we planned for. If we think the amount of water is a significant outcome, then we must write a new experiment.