For the past few weeks, we have been learning in class about the difference between correlation and causation. You may be wondering, what do those terms mean? Well, correlation is a connection between two or more sets of data, and causation is a connection where one set of data causes another. We were tasked with presenting a project to show correlation and causation in the real world. I worked with Lauren in this unit, and we researched two different questions. First, we wondered if the amount of vegetables you ate correlated with your age. Second, we wanted to know if the amount of sports you play causes the amount of injuries you have.
We created a google form and sent it to friends and peers. We ended up with over 100 results after just a couple of days. We used simple but specific wording to be sure that everyone could understand. This made sure that our data would not be skewed. We took all of our information and accurately reordered it to make it easier to graph. Then, we found the averages for each age group or the amount of sports, so we could make the graph easy to read.
Then, we found the mean, median, and mode for all of our data, which can be used in a few ways. First, we used the mean to create the graph. Second, the median can be used to see the middle of the range of data. Lastly, the mode can be used to see and describe trends within our data. These were useful when understanding what different demographics answered in our survey.
The next step was to create the graphs. We chose to use a 2 axis mixed bar and line graph, because it would allow us to see trends in our data right in one spot. We separated each variable into a portion of the graph, and it ended up being very simple to understand when glanced at.
All in all, I am very proud of all of the hard work we put into this project. It took a lot of time out of our days and I believe that the final product was in the end worth it.