This class was taken the second semester of my sophomore year. Going into this class I was a little nervous as I did not take the prerequisite for this class since I got AP credit for it while I was in high school. I hadn’t taken statistics in three years so I came into the class knowing it was going to be challenging. While I had to do a lot of work at first to catch myself up on the topics taught in MATH 171, it all paid off in the end as I did surprisingly well throughout the semester. I actually ended up finding it to be a really interesting class, especially once we transitioned to online learning due to the coronavirus pandemic. My favorite part of the class was that we actually got to take what we had learned in the class and apply it to the real life situations happening because of the virus. I learned a lot within this class and even learned that I can still do really well in classes that I am nervous about at the beginning of the semester.
Artifact:
Title: Report 3 – Linear Regression
Authors: Katelyn Weber, Christina Amoruso, and Curran Atkinson
Date: April 17, 2020
The artifact for this class was our Report 3 – Linear Regression that we did toward the end of the semester after transitioning online. For this report we were instructed to look at real data from the New York Times and determine whether or not Virginia has flattened its Total Number of COVID-19 Cases by Day logistic curve. We ran the linear regression models as well as used exponential models to approximate the logistic curve’s exponential growth rate. While we calculated the math and determines that Virginia was successfully flattening the curve, we also explained how the different measures directed by the governor that have taken place are affecting the way the curve is flattened.