During this term we have looked at a multitude of different topics, the topic that I will be talking about today is Correlation vs Causation. Throughout this unit, we have learned a ton of different things. Here are the key areas of learning we looked at.
Knowing the difference between correlation and causation is a very important part of this unit. Correlation is when two data points follow the same pattern.
Now on to causation, causation is when one variable affects the other, causation implies correlation.
For this project we were assigned to create a graph that displayed a causation and another graph to display correlation. We were also assigned to display these graphs in keynote explaining correlation and causation. For this project, I teamed up with my good friend Logan. To complete our graphs we used multiple authentic sources. For our correlation graph we used data from the internet. For the causation graph I collected data from our classroom. If you are interested in seeing our Keynote, here it is!
In conclusion I learned a gross amount (pun intended) about the wonderful world of graphs, causation, correlation, and data. Even though this is the last math post of the year, I will be dreaming of spreadsheets and math equations all through summer. Zanker out!