Weigh the importance of confounding variables when it comes to the results of data. May either find a study or use hypothetical study.

In the discussion,:

1. Define what a confounding variable is and provide a brief description of the study.
2. Discuss possible confounding variables that could be considered as influencing the response variables within the study.
3. Explain how important it is to consider confounding variables when measuring data. Should they be weighed heavily when it comes to results or be less of a consideration when looking for correlations between variables? Support your reasoning.